Skip to main content
Erschienen in: Artificial Intelligence Review 1/2020

18.08.2018

A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017

verfasst von: Xindong Peng, Jingguo Dai

Erschienen in: Artificial Intelligence Review | Ausgabe 1/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Neutrosophic set, initiated by Smarandache, is a novel tool to deal with vagueness considering the truth-membership T, indeterminacy-membership I and falsity-membership F satisfying the condition \(0\le T+I+F\le 3\). It can be used to characterize the uncertain information more sufficiently and accurately than intuitionistic fuzzy set. Neutrosophic set has attracted great attention of many scholars that have been extended to new types and these extensions have been used in many areas such as aggregation operators, decision making, image processing, information measures, graph and algebraic structures. Because of such a growth, we present an overview on neutrosophic set with the aim of offering a clear perspective on the different concepts, tools and trends related to their extensions. A total of 137 neutrosophic set publication records from Web of Science are analyzed. Many interesting results with regard to the annual trends, the top players in terms of country level as well as institutional level, the publishing journals, the highly cited papers, and the research landscape are yielded and explained in-depth. The results indicate that some developing economics (such as China, India, Turkey) are quite active in neutrosophic set research. Moreover, the co-authorship analysis of the country and institution, the co-citation analysis of the journal, reference and author, and the co-occurrence analysis of the keywords are presented by VOSviewer software.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Akbulut Y, Şengür A, Guo Y, Polat K (2017) KNCM: Kernel neutrosophic c-means clustering. Appl Soft Comput 52:714–724CrossRef Akbulut Y, Şengür A, Guo Y, Polat K (2017) KNCM: Kernel neutrosophic c-means clustering. Appl Soft Comput 52:714–724CrossRef
Zurück zum Zitat Akram M (2012) Interval-valued fuzzy line graphs. Neural Comput Appl 21:145–150CrossRef Akram M (2012) Interval-valued fuzzy line graphs. Neural Comput Appl 21:145–150CrossRef
Zurück zum Zitat Akram M (2016) Single-valued neutrosophic planar graphs. Int J Algebra Stat 5:157–167CrossRef Akram M (2016) Single-valued neutrosophic planar graphs. Int J Algebra Stat 5:157–167CrossRef
Zurück zum Zitat Akram M, Luqman A (2017) Certain networks models using single-valued neutrosophic directed hypergraphs. J Intell Fuzzy Syst 33:575–588MATHCrossRef Akram M, Luqman A (2017) Certain networks models using single-valued neutrosophic directed hypergraphs. J Intell Fuzzy Syst 33:575–588MATHCrossRef
Zurück zum Zitat Akram M, Nasir M (2017) Concepts of interval-valued neutrosophic graphs. Int J Algebra Stat 6:22–41CrossRef Akram M, Nasir M (2017) Concepts of interval-valued neutrosophic graphs. Int J Algebra Stat 6:22–41CrossRef
Zurück zum Zitat Akram M, Sarwar M (2017) Novel multiple criteria decision making methods based on bipolar neutrosophic sets and bipolar neutrosophic graphs. Ital J Pure Appl Math 38:1–24 Akram M, Sarwar M (2017) Novel multiple criteria decision making methods based on bipolar neutrosophic sets and bipolar neutrosophic graphs. Ital J Pure Appl Math 38:1–24
Zurück zum Zitat Akram M, Shahzadi S (2016) Representation of graphs using intuitionistic neutrosophic soft sets. J Math Anal 7:1–23MathSciNetMATH Akram M, Shahzadi S (2016) Representation of graphs using intuitionistic neutrosophic soft sets. J Math Anal 7:1–23MathSciNetMATH
Zurück zum Zitat Akram M, Shahzadi G (2017a) Operations on single-valued neutrosophic graphs. J Uncertain Syst 11:1–26MATH Akram M, Shahzadi G (2017a) Operations on single-valued neutrosophic graphs. J Uncertain Syst 11:1–26MATH
Zurück zum Zitat Akram M, Shahzadi S (2017b) Neutrosophic soft graphs with application. J Intell Fuzzy Syst 32:841–858MATHCrossRef Akram M, Shahzadi S (2017b) Neutrosophic soft graphs with application. J Intell Fuzzy Syst 32:841–858MATHCrossRef
Zurück zum Zitat Akram M, Sitara M (2018) Novel applications of single-valued neutrosophic graph structures in decision-making. J Appl Math Comput 56:501–532MathSciNetCrossRef Akram M, Sitara M (2018) Novel applications of single-valued neutrosophic graph structures in decision-making. J Appl Math Comput 56:501–532MathSciNetCrossRef
Zurück zum Zitat Ali M, Smarandache F (2017) Complex neutrosophic set. Neural Comput Appl 28:1817–1834CrossRef Ali M, Smarandache F (2017) Complex neutrosophic set. Neural Comput Appl 28:1817–1834CrossRef
Zurück zum Zitat Ali M, Deli I, Smarandache F (2016) The theory of neutrosophic cubic sets and their applications in pattern recognition. J Intell Fuzzy Syst 30:1957–1963MATHCrossRef Ali M, Deli I, Smarandache F (2016) The theory of neutrosophic cubic sets and their applications in pattern recognition. J Intell Fuzzy Syst 30:1957–1963MATHCrossRef
Zurück zum Zitat Alkhazaleh S (2016) Time-neutrosophic soft set and its applications. J Intell Fuzzy Syst 30:1087–1098MATHCrossRef Alkhazaleh S (2016) Time-neutrosophic soft set and its applications. J Intell Fuzzy Syst 30:1087–1098MATHCrossRef
Zurück zum Zitat Alkhazaleh S (2017) n-Valued refined neutrosophic soft set theory. J Intell Fuzzy Syst 32:4311–4318MATHCrossRef Alkhazaleh S (2017) n-Valued refined neutrosophic soft set theory. J Intell Fuzzy Syst 32:4311–4318MATHCrossRef
Zurück zum Zitat Al-Quran A, Hassan N (2016) Neutrosophic vague soft expert set theory. J Intell Fuzzy Syst 30:3691–3702MATHCrossRef Al-Quran A, Hassan N (2016) Neutrosophic vague soft expert set theory. J Intell Fuzzy Syst 30:3691–3702MATHCrossRef
Zurück zum Zitat Amin KM, Shahin AI, Guo Y (2016) A novel breast tumor classification algorithm using neutrosophic score features. Measurement 81:210–220CrossRef Amin KM, Shahin AI, Guo Y (2016) A novel breast tumor classification algorithm using neutrosophic score features. Measurement 81:210–220CrossRef
Zurück zum Zitat Anter AM, Hassanien AE, ElSoud MAA, Tolba MF (2014) Neutrosophic sets and fuzzy c-means clustering for improving ct liver image segmentation. In: International conference on innovations in bio-inspired computing and applications, IBICA 2014, Ostrava, Czech, 23–25; pp 193–203 Anter AM, Hassanien AE, ElSoud MAA, Tolba MF (2014) Neutrosophic sets and fuzzy c-means clustering for improving ct liver image segmentation. In: International conference on innovations in bio-inspired computing and applications, IBICA 2014, Ostrava, Czech, 23–25; pp 193–203
Zurück zum Zitat Ashraf S, Naz S, Rashmanlou H, Malik MA (2017) Regularity of graphs in single valued neutrosophic environment. J Intell Fuzzy Syst 33:529–542MATHCrossRef Ashraf S, Naz S, Rashmanlou H, Malik MA (2017) Regularity of graphs in single valued neutrosophic environment. J Intell Fuzzy Syst 33:529–542MATHCrossRef
Zurück zum Zitat Atanssov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96CrossRef Atanssov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96CrossRef
Zurück zum Zitat Aydoǧdu A (2015a) On entropy and similarity measure of interval valued neutrosophic sets. Neutrosophic Sets Syst 9:47–49 Aydoǧdu A (2015a) On entropy and similarity measure of interval valued neutrosophic sets. Neutrosophic Sets Syst 9:47–49
Zurück zum Zitat Aydoǧdu A (2015b) On similarity and entropy of single valued neutrosophic sets. Gen Math Notes 29:67–74 Aydoǧdu A (2015b) On similarity and entropy of single valued neutrosophic sets. Gen Math Notes 29:67–74
Zurück zum Zitat Banerjee D, Giri BC, Pramanik S, Smarandache F (2017) GRA for multi attribute decision making in neutrosophic cubic set environment. Neutrosophic Sets Syst 15:60–69 Banerjee D, Giri BC, Pramanik S, Smarandache F (2017) GRA for multi attribute decision making in neutrosophic cubic set environment. Neutrosophic Sets Syst 15:60–69
Zurück zum Zitat Baušys R, Juodagalvienė B (2017) Garage location selection for residential house by WASPAS-SVNS method. J Civ Eng Manag 23:421–429CrossRef Baušys R, Juodagalvienė B (2017) Garage location selection for residential house by WASPAS-SVNS method. J Civ Eng Manag 23:421–429CrossRef
Zurück zum Zitat Bausys R, Zavadskas KE (2015) Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Econ Comput Econ Cybern 49:33–48 Bausys R, Zavadskas KE (2015) Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Econ Comput Econ Cybern 49:33–48
Zurück zum Zitat Bausys R, Zavadskas EK, Kaklauskas A (2015) Application of neutrosophic set to multicriteria decision making by COPRAS. Econ Comput Econ Cybern 49:84–98 Bausys R, Zavadskas EK, Kaklauskas A (2015) Application of neutrosophic set to multicriteria decision making by COPRAS. Econ Comput Econ Cybern 49:84–98
Zurück zum Zitat Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners. Springer, BerlinMATH Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners. Springer, BerlinMATH
Zurück zum Zitat Bera T, Mahapatra NK (2017) On neutrosophic soft rings. OPSEARCH 54:143–167CrossRef Bera T, Mahapatra NK (2017) On neutrosophic soft rings. OPSEARCH 54:143–167CrossRef
Zurück zum Zitat Bhowmik M, Pal M (2009) Intuitionistic neutrosophic set. J Inf Comput Sci 4:142–152 Bhowmik M, Pal M (2009) Intuitionistic neutrosophic set. J Inf Comput Sci 4:142–152
Zurück zum Zitat Biswas P, Pramanik S, Giri BC (2014a) A new methodology for neutrosophic multi-attribute decision making with unknown weight information. Neutrosophic Sets Syst 3:42–52 Biswas P, Pramanik S, Giri BC (2014a) A new methodology for neutrosophic multi-attribute decision making with unknown weight information. Neutrosophic Sets Syst 3:42–52
Zurück zum Zitat Biswas P, Pramanik S, Giri BC (2014b) Cosine similarity measure based multi-attribute decision-making with trapezoidal fuzzy neutrosophic numbers. Neutrosophic Sets Syst 8:46–56 Biswas P, Pramanik S, Giri BC (2014b) Cosine similarity measure based multi-attribute decision-making with trapezoidal fuzzy neutrosophic numbers. Neutrosophic Sets Syst 8:46–56
Zurück zum Zitat Biswas P, Pramanik S, Giri BC (2014c) Entropy based grey relational analysis method for multi-attribute decision-making under single valued neutrosophic assessments. Neutrosophic Sets Syst 2:102–110 Biswas P, Pramanik S, Giri BC (2014c) Entropy based grey relational analysis method for multi-attribute decision-making under single valued neutrosophic assessments. Neutrosophic Sets Syst 2:102–110
Zurück zum Zitat Biswas P, Pramanik S, Giri BC (2016) TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Comput Appl 27:727–737CrossRef Biswas P, Pramanik S, Giri BC (2016) TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Comput Appl 27:727–737CrossRef
Zurück zum Zitat Black M (1937) Vagueness: an exercise in logical analysis. Philos Sci 4:427–455CrossRef Black M (1937) Vagueness: an exercise in logical analysis. Philos Sci 4:427–455CrossRef
Zurück zum Zitat Bonferroni C (1950) Sulle medie multiple di potenze. Bolletino dell’Unione Matematica Italiana 5:267–270MathSciNetMATH Bonferroni C (1950) Sulle medie multiple di potenze. Bolletino dell’Unione Matematica Italiana 5:267–270MathSciNetMATH
Zurück zum Zitat Broumi S (2013) Generalized neutrosophic soft set. Int J Comput Sci Eng Inf 3:17–30 Broumi S (2013) Generalized neutrosophic soft set. Int J Comput Sci Eng Inf 3:17–30
Zurück zum Zitat Broumi S, Deli I (2014) Correlation measure for neutrosophic refined sets and its application in medical diagnosis. Palest J Math 3:11–19MathSciNetMATH Broumi S, Deli I (2014) Correlation measure for neutrosophic refined sets and its application in medical diagnosis. Palest J Math 3:11–19MathSciNetMATH
Zurück zum Zitat Broumi S, Smarandache F (2013a) Correlation coefficient of interval neutrosophic set. Appl Mech Mater 436:511–517CrossRef Broumi S, Smarandache F (2013a) Correlation coefficient of interval neutrosophic set. Appl Mech Mater 436:511–517CrossRef
Zurück zum Zitat Broumi S, Smarandache F (2013b) Intuitionistic neutrosophic soft set. J Inf Comput Sci 8:130–140 Broumi S, Smarandache F (2013b) Intuitionistic neutrosophic soft set. J Inf Comput Sci 8:130–140
Zurück zum Zitat Broumi S, Smarandache F (2013c) Several similarity measures of neutrosophic sets. Neutrosophic Sets Syst 1:54–62 Broumi S, Smarandache F (2013c) Several similarity measures of neutrosophic sets. Neutrosophic Sets Syst 1:54–62
Zurück zum Zitat Broumi S, Smarandache F (2014a) Neutrosophic refined similarity measure based on cosine function. Neutrosophic Sets Syst 6:41–47 Broumi S, Smarandache F (2014a) Neutrosophic refined similarity measure based on cosine function. Neutrosophic Sets Syst 6:41–47
Zurück zum Zitat Broumi S, Smarandache F (2014b) On neutrosophic implications. Neutrosophic Sets Syst 2:9–17 Broumi S, Smarandache F (2014b) On neutrosophic implications. Neutrosophic Sets Syst 2:9–17
Zurück zum Zitat Broumi S, Smarandache F (2014c) Single valued neutrosophic trapezoid linguistic aggregation operators based multi-attribute decision making. Bull Pure Appl Sci 33:135–155 Broumi S, Smarandache F (2014c) Single valued neutrosophic trapezoid linguistic aggregation operators based multi-attribute decision making. Bull Pure Appl Sci 33:135–155
Zurück zum Zitat Broumi S, Smarandache F (2015) New operations on interval neutrosophic sets. J New Theory 1:24–37 Broumi S, Smarandache F (2015) New operations on interval neutrosophic sets. J New Theory 1:24–37
Zurück zum Zitat Broumi S, Smarandache F, Dhar M (2014a) Rough neutrosophic set. Neutrosophic Sets Syst 3:60–65MATH Broumi S, Smarandache F, Dhar M (2014a) Rough neutrosophic set. Neutrosophic Sets Syst 3:60–65MATH
Zurück zum Zitat Broumi S, Deli I, Smarandache F (2014b) Relations on interval valued neutrosophic soft sets. J New Results Sci 5:1–20MATH Broumi S, Deli I, Smarandache F (2014b) Relations on interval valued neutrosophic soft sets. J New Results Sci 5:1–20MATH
Zurück zum Zitat Broumi S, Ye J, Smarandache F (2015) An extended TOPSIS method for multiple attribute decision making based on interval neutrosophic uncertain linguistic variables. Neutrosophic Sets Syst 8:22–31 Broumi S, Ye J, Smarandache F (2015) An extended TOPSIS method for multiple attribute decision making based on interval neutrosophic uncertain linguistic variables. Neutrosophic Sets Syst 8:22–31
Zurück zum Zitat Broumi S, Bakali A, Talea M, Smarandache F (2016a) Isolated single valued neutrosophic graphs. Neutrosophic Sets Syst 11:74–78 Broumi S, Bakali A, Talea M, Smarandache F (2016a) Isolated single valued neutrosophic graphs. Neutrosophic Sets Syst 11:74–78
Zurück zum Zitat Broumi S, Talea M, Bakali A, Smarandache F (2016b) On bipolar single valued neutrosophic graphs. J New Theory 11:84–102 Broumi S, Talea M, Bakali A, Smarandache F (2016b) On bipolar single valued neutrosophic graphs. J New Theory 11:84–102
Zurück zum Zitat Broumi S, Bakali A, Talea M, Smarandache F, Vladareanu L (2016c) Computation of shortest path problem in a network with SV-trapezoidal neutrosophic numbers. In: International conference on advanced mechatronic systems, ICAMechS 2016, VIC, Australia, 30 Nov–3 Dec 2016; pp 417–422 Broumi S, Bakali A, Talea M, Smarandache F, Vladareanu L (2016c) Computation of shortest path problem in a network with SV-trapezoidal neutrosophic numbers. In: International conference on advanced mechatronic systems, ICAMechS 2016, VIC, Australia, 30 Nov–3 Dec 2016; pp 417–422
Zurück zum Zitat Broumi S, Smarandache F, Talea M, Bakali A (2016d) Single valued neutrosophic graphs: degree, order and size. In: IEEE international conference on fuzzy systems, FUZZ-IEEE 2016, Vancouver, Canada, 24–29; pp 2444–2451 Broumi S, Smarandache F, Talea M, Bakali A (2016d) Single valued neutrosophic graphs: degree, order and size. In: IEEE international conference on fuzzy systems, FUZZ-IEEE 2016, Vancouver, Canada, 24–29; pp 2444–2451
Zurück zum Zitat Broumi S, Talea M, Smarandache F, Bakali A (2016e) Decision-making method based on the interval valued neutrosophic graph. In: Future technologies conference, FTC, San Francisco, CA, USA, 6–7 Dec. 2016; pp 44–50 Broumi S, Talea M, Smarandache F, Bakali A (2016e) Decision-making method based on the interval valued neutrosophic graph. In: Future technologies conference, FTC, San Francisco, CA, USA, 6–7 Dec. 2016; pp 44–50
Zurück zum Zitat Broumi S, Bakali A, Talea M, Smarandache F, Ali M (2017) Shortest path problem under bipolar neutrosphic setting. Appl Mech Mater 859:59–66CrossRef Broumi S, Bakali A, Talea M, Smarandache F, Ali M (2017) Shortest path problem under bipolar neutrosphic setting. Appl Mech Mater 859:59–66CrossRef
Zurück zum Zitat Cetkin V, Aygun H (2015) An approach to neutrosophic subgroup and its fundamental properties. J Intell Fuzzy Syst 29:1941–1947MathSciNetMATHCrossRef Cetkin V, Aygun H (2015) An approach to neutrosophic subgroup and its fundamental properties. J Intell Fuzzy Syst 29:1941–1947MathSciNetMATHCrossRef
Zurück zum Zitat Chalapathi T, Kumar RK (2017) Neutrosophic graphs of finite groups. Neutrosophic Sets Syst 15:22–30 Chalapathi T, Kumar RK (2017) Neutrosophic graphs of finite groups. Neutrosophic Sets Syst 15:22–30
Zurück zum Zitat Chen J, Ye J (2016) A projection model of neutrosophic numbers for multiple attribute decision making of clay-brick selection. Neutrosophic Sets Syst 12:139–142 Chen J, Ye J (2016) A projection model of neutrosophic numbers for multiple attribute decision making of clay-brick selection. Neutrosophic Sets Syst 12:139–142
Zurück zum Zitat Chen J, Ye J (2017) Some single-valued neutrosophic Dombi weighted aggregation operators for multiple attribute decision-making. Symmetry 9:1–11 Chen J, Ye J (2017) Some single-valued neutrosophic Dombi weighted aggregation operators for multiple attribute decision-making. Symmetry 9:1–11
Zurück zum Zitat Chen HC, Roco MC, Son JB, Jiang S, Larson CA, Gao Q (1991) Global nanotechnology development from 1991 to 2012: patents, scientific publications, and effect of NSF funding. J Nanopart Res 15(2013):1–21 Chen HC, Roco MC, Son JB, Jiang S, Larson CA, Gao Q (1991) Global nanotechnology development from 1991 to 2012: patents, scientific publications, and effect of NSF funding. J Nanopart Res 15(2013):1–21
Zurück zum Zitat Chi P, Liu P (2013) An extended TOPSIS method for the multiple attribute decision making problems based on interval neutrosophic set. Neutrosophic Sets Syst 1:63–70 Chi P, Liu P (2013) An extended TOPSIS method for the multiple attribute decision making problems based on interval neutrosophic set. Neutrosophic Sets Syst 1:63–70
Zurück zum Zitat Deli I (2017) Interval-valued neutrosophic soft sets and its decision making. Int J Mach Learn Cybern 8:665–676CrossRef Deli I (2017) Interval-valued neutrosophic soft sets and its decision making. Int J Mach Learn Cybern 8:665–676CrossRef
Zurück zum Zitat Deli I, Broumi S (2015b) Neutrosophic soft relations and some properties. Ann Fuzzy Math Inf 9:169–182MathSciNetMATH Deli I, Broumi S (2015b) Neutrosophic soft relations and some properties. Ann Fuzzy Math Inf 9:169–182MathSciNetMATH
Zurück zum Zitat Deli I, Şubaş Y (2017a) A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems. Int J Mach Learn Cybern 8:1309–1322CrossRef Deli I, Şubaş Y (2017a) A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems. Int J Mach Learn Cybern 8:1309–1322CrossRef
Zurück zum Zitat Deli I, Şubaş Y (2017b) Some weighted geometric operators with SVTrN-numbers and their application to multi-criteria decision making problems. J Intell Fuzzy Syst 32:291–301MATHCrossRef Deli I, Şubaş Y (2017b) Some weighted geometric operators with SVTrN-numbers and their application to multi-criteria decision making problems. J Intell Fuzzy Syst 32:291–301MATHCrossRef
Zurück zum Zitat Deli I, Ali M, Smarandache F (2015) Bipolar neutrosophic sets and their application based on multi-criteria decision making problems. In: International conference on advanced mechatronic systems, ICAMechS 2015, Beijing, China, 22–24; pp 249–254 Deli I, Ali M, Smarandache F (2015) Bipolar neutrosophic sets and their application based on multi-criteria decision making problems. In: International conference on advanced mechatronic systems, ICAMechS 2015, Beijing, China, 22–24; pp 249–254
Zurück zum Zitat Dey PP, Pramanik S, Giri BC (2015a) An extended grey relational analysis based interval neutrosophic multi-attribute decision making for weaver selection. J New Theory 9:82–93 Dey PP, Pramanik S, Giri BC (2015a) An extended grey relational analysis based interval neutrosophic multi-attribute decision making for weaver selection. J New Theory 9:82–93
Zurück zum Zitat Dey PP, Pramanik S, Giri BC (2015b) Generalized neutrosophic soft multi-attribute group decision making based on TOPSIS. Crit Rev 11:41–55 Dey PP, Pramanik S, Giri BC (2015b) Generalized neutrosophic soft multi-attribute group decision making based on TOPSIS. Crit Rev 11:41–55
Zurück zum Zitat Dey PP, Pramanik S, Giri BC (2016a) TOPSIS for solving multi-attribute decision making problems under bi-polar neutrosophic environment. In: New trends in neutrosophic theory and applications; Smarandache F, Pramanik; Publishing House, Pons asbl, Brussels, pp 55–63 Dey PP, Pramanik S, Giri BC (2016a) TOPSIS for solving multi-attribute decision making problems under bi-polar neutrosophic environment. In: New trends in neutrosophic theory and applications; Smarandache F, Pramanik; Publishing House, Pons asbl, Brussels, pp 55–63
Zurück zum Zitat Dey PP, Pramanik S, Giri BC (2016b) TOPSIS for solving multi-attribute decision making problems under bi-polar neutrosophic environment. In: New trends in neutrosophic theory and applications; Smarandache F, Pramanik; Publishing House, Pons asbl, Brussels, pp 65–77 Dey PP, Pramanik S, Giri BC (2016b) TOPSIS for solving multi-attribute decision making problems under bi-polar neutrosophic environment. In: New trends in neutrosophic theory and applications; Smarandache F, Pramanik; Publishing House, Pons asbl, Brussels, pp 65–77
Zurück zum Zitat Dey PP, Pramanik S, Giri BC (2016c) An extended grey relational analysis based multiple attribute decision making in interval neutrosophic uncertain linguistic setting. Neutrosophic Sets Syst 11:21–30 Dey PP, Pramanik S, Giri BC (2016c) An extended grey relational analysis based multiple attribute decision making in interval neutrosophic uncertain linguistic setting. Neutrosophic Sets Syst 11:21–30
Zurück zum Zitat Dey PP, Pramanik S, Giri BC (2016d) Neutrosophic soft multi-attribute decision making based on grey relational projection method. Neutrosophic Sets Syst 11:98–106 Dey PP, Pramanik S, Giri BC (2016d) Neutrosophic soft multi-attribute decision making based on grey relational projection method. Neutrosophic Sets Syst 11:98–106
Zurück zum Zitat Deli I, Eraslan S, Çağman N (2018) ivnpiv-Neutrosophic soft sets and their decision making based on similarity measure. Neural Comput Appl 29:187–203CrossRef Deli I, Eraslan S, Çağman N (2018) ivnpiv-Neutrosophic soft sets and their decision making based on similarity measure. Neural Comput Appl 29:187–203CrossRef
Zurück zum Zitat Dombi J (1982) A general class of fuzzy operators, the demorgan class of fuzzy operators and fuzziness measures induced by fuzzy operators. Fuzzy Sets Syst 8:149–163MATHCrossRef Dombi J (1982) A general class of fuzzy operators, the demorgan class of fuzzy operators and fuzziness measures induced by fuzzy operators. Fuzzy Sets Syst 8:149–163MATHCrossRef
Zurück zum Zitat Dutta AK (2016) Analysis of side effects of chemotheraphy treatment for cancer patients using neutrosophic cognitive graphs (NCG). Int J Appl Eng Res 11:401–403 Dutta AK (2016) Analysis of side effects of chemotheraphy treatment for cancer patients using neutrosophic cognitive graphs (NCG). Int J Appl Eng Res 11:401–403
Zurück zum Zitat Elhassouny A, Smarandache F (2016) Neutrosophic-simplified-TOPSIS multi-criteria decision-making using combined simplified-TOPSIS method and neutrosophics. In: IEEE international conference on fuzzy systems, FUZZ-IEEE 2016, Vancouver, Canada, 24–29; pp 2468–2474 Elhassouny A, Smarandache F (2016) Neutrosophic-simplified-TOPSIS multi-criteria decision-making using combined simplified-TOPSIS method and neutrosophics. In: IEEE international conference on fuzzy systems, FUZZ-IEEE 2016, Vancouver, Canada, 24–29; pp 2468–2474
Zurück zum Zitat El-Hefenawy N, Metwally MA, Ahmed ZM, El-Henawy IM (2016) A review on the applications of neutrosophic sets. J Comput Theor Nanosci 13:936–944CrossRef El-Hefenawy N, Metwally MA, Ahmed ZM, El-Henawy IM (2016) A review on the applications of neutrosophic sets. J Comput Theor Nanosci 13:936–944CrossRef
Zurück zum Zitat Elnazer S, Morsy M, Eldin M, Abo-Elsoud A (2016) Brain tumor segmentation using hybrid of both neutrosophic modified nonlocal fuzzy C-mean and modified level sets. Int J Sci Res 5:1908–1914 Elnazer S, Morsy M, Eldin M, Abo-Elsoud A (2016) Brain tumor segmentation using hybrid of both neutrosophic modified nonlocal fuzzy C-mean and modified level sets. Int J Sci Res 5:1908–1914
Zurück zum Zitat Faraji MR, Qi X (2013) An effective neutrosophic set-based preprocessing method for face recognition. In: International conference on multimedia and expo workshops, ICMEW 2013, CA, USA, 15–19; pp 1–4 Faraji MR, Qi X (2013) An effective neutrosophic set-based preprocessing method for face recognition. In: International conference on multimedia and expo workshops, ICMEW 2013, CA, USA, 15–19; pp 1–4
Zurück zum Zitat Garg H, Garg N (2016) On single-valued neutrosophic entropy of order \(\alpha \). Neutrosophic Sets Syst 14:21–28 Garg H, Garg N (2016) On single-valued neutrosophic entropy of order \(\alpha \). Neutrosophic Sets Syst 14:21–28
Zurück zum Zitat Guo Y, Cheng HD (2009) New neutrosophic approach to image segmentation. Pattern Recognit 42:587–595MATHCrossRef Guo Y, Cheng HD (2009) New neutrosophic approach to image segmentation. Pattern Recognit 42:587–595MATHCrossRef
Zurück zum Zitat Guo YH, Sengur A (2013) A novel color image segmentation approach based on neutrosophic set and modified fuzzy c-means. Circuits Syst Signal Process 32:1699–1723MathSciNetCrossRef Guo YH, Sengur A (2013) A novel color image segmentation approach based on neutrosophic set and modified fuzzy c-means. Circuits Syst Signal Process 32:1699–1723MathSciNetCrossRef
Zurück zum Zitat Guo Y, Şengür A (2014) A novel image segmentation algorithm based on neutrosophic similarity clustering. Appl Soft Comput 25:391–398CrossRef Guo Y, Şengür A (2014) A novel image segmentation algorithm based on neutrosophic similarity clustering. Appl Soft Comput 25:391–398CrossRef
Zurück zum Zitat Guo Y, Sengur ANCM (2015) Neutrosophic c-means clustering algorithm. Pattern Recognit 48:2710–2724CrossRef Guo Y, Sengur ANCM (2015) Neutrosophic c-means clustering algorithm. Pattern Recognit 48:2710–2724CrossRef
Zurück zum Zitat Guo Y, Cheng HD, Zhang Y (2009) A new neutrosophic approach to image denoising. New Math Nat Comput 5:653–662MATHCrossRef Guo Y, Cheng HD, Zhang Y (2009) A new neutrosophic approach to image denoising. New Math Nat Comput 5:653–662MATHCrossRef
Zurück zum Zitat Guo Y, Zhou C, Chan HP, Chughtai A, Wei J, Hadjiiski LM, Kazerooni EA (2013) Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography. Med Phys 40:081912CrossRef Guo Y, Zhou C, Chan HP, Chughtai A, Wei J, Hadjiiski LM, Kazerooni EA (2013) Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography. Med Phys 40:081912CrossRef
Zurück zum Zitat Guo Y, Şengür A, Ye J (2014) A novel image thresholding algorithm based on neutrosophic similarity score. Measurement 58:175–186CrossRef Guo Y, Şengür A, Ye J (2014) A novel image thresholding algorithm based on neutrosophic similarity score. Measurement 58:175–186CrossRef
Zurück zum Zitat Guo Y, Şengür A, Tian JW (2016) A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. Comput Methods Programs Biomed 123:43–53CrossRef Guo Y, Şengür A, Tian JW (2016) A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. Comput Methods Programs Biomed 123:43–53CrossRef
Zurück zum Zitat Guo Y, Xia R, Şengür A, Polat K (2017a) A novel image segmentation approach based on neutrosophic C-means clustering and indeterminacy filtering. Neural Comput Appl 28:3009–3019CrossRef Guo Y, Xia R, Şengür A, Polat K (2017a) A novel image segmentation approach based on neutrosophic C-means clustering and indeterminacy filtering. Neural Comput Appl 28:3009–3019CrossRef
Zurück zum Zitat Guo YH, Du GQ, Xue JY, Xia R, Wang YH (2017b) A novel myocardium segmentation approach based on neutrosophic active contour model. Comput Methods Programs Biomed 142:109–116CrossRef Guo YH, Du GQ, Xue JY, Xia R, Wang YH (2017b) A novel myocardium segmentation approach based on neutrosophic active contour model. Comput Methods Programs Biomed 142:109–116CrossRef
Zurück zum Zitat Han LL, Wei CP (2017) Group decision making method based on single valued neutrosophic Choquet integral operator. Oper Res Trans 21:110–118MATH Han LL, Wei CP (2017) Group decision making method based on single valued neutrosophic Choquet integral operator. Oper Res Trans 21:110–118MATH
Zurück zum Zitat Hanafy IM, Salama AA, Mahfouz KM (2013) Correlation coefficients of neutrosophic sets by centroid method. Int J Probab Stat 2:9–12 Hanafy IM, Salama AA, Mahfouz KM (2013) Correlation coefficients of neutrosophic sets by centroid method. Int J Probab Stat 2:9–12
Zurück zum Zitat Hanbay K, Talu MF (2014) Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set. Appl Soft Comput 21:433–443CrossRef Hanbay K, Talu MF (2014) Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set. Appl Soft Comput 21:433–443CrossRef
Zurück zum Zitat Heshmati A, Gholami M, Rashno A (2016) Scheme for unsupervised colour-texture image segmentation using neutrosophic set and non-subsampled contourlet transform. IET Image Process 10:464–473CrossRef Heshmati A, Gholami M, Rashno A (2016) Scheme for unsupervised colour-texture image segmentation using neutrosophic set and non-subsampled contourlet transform. IET Image Process 10:464–473CrossRef
Zurück zum Zitat Hu CP, Hu JM, Gao Y, Zhang YK (2011) A journal co-citation analysis of library and information science in China. Scientometrics 86:657–670CrossRef Hu CP, Hu JM, Gao Y, Zhang YK (2011) A journal co-citation analysis of library and information science in China. Scientometrics 86:657–670CrossRef
Zurück zum Zitat Hu KL, Ye J, Fan E, Shen SG, Huang LJ, Pi JT (2017) A novel object tracking algorithm by fusing color and depth information based on single valued neutrosophic cross-entropy. J Intell Fuzzy Syst 32:1775–1786CrossRef Hu KL, Ye J, Fan E, Shen SG, Huang LJ, Pi JT (2017) A novel object tracking algorithm by fusing color and depth information based on single valued neutrosophic cross-entropy. J Intell Fuzzy Syst 32:1775–1786CrossRef
Zurück zum Zitat Huang HL (2016) New distance measure of single-valued neutrosophic sets and its application. Int J Intell Syst 31:1021–1032CrossRef Huang HL (2016) New distance measure of single-valued neutrosophic sets and its application. Int J Intell Syst 31:1021–1032CrossRef
Zurück zum Zitat Jayanthi M (2016) Comparative study of different techniques used for medical image segmentation of liver from abdominal CT scan. In: International conference on wireless communications, signal processing and networking, ICWiSPNET 2016, Chennai, India, 23–25; pp 1462–1465 Jayanthi M (2016) Comparative study of different techniques used for medical image segmentation of liver from abdominal CT scan. In: International conference on wireless communications, signal processing and networking, ICWiSPNET 2016, Chennai, India, 23–25; pp 1462–1465
Zurück zum Zitat Ji P, Zhang HY (2016) A subsethood measure with the hausdorff distance for interval neutrosophic sets and its relations with similarity and entropy measures. In: Control and decision conference, CCDC 2015, Yinchuan, China, 28–30 May 2016; pp 4152–4157 Ji P, Zhang HY (2016) A subsethood measure with the hausdorff distance for interval neutrosophic sets and its relations with similarity and entropy measures. In: Control and decision conference, CCDC 2015, Yinchuan, China, 28–30 May 2016; pp 4152–4157
Zurück zum Zitat Ji P, Zhang HY, Wang JQ (2018) A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Comput Appl 29:221–234CrossRef Ji P, Zhang HY, Wang JQ (2018) A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Comput Appl 29:221–234CrossRef
Zurück zum Zitat Ju W (2011) Novel application of neutrosophic logic in classifiers evaluated under region-based image categorization system. PhD thesis, Utah State University, Logan, Utah Ju W (2011) Novel application of neutrosophic logic in classifiers evaluated under region-based image categorization system. PhD thesis, Utah State University, Logan, Utah
Zurück zum Zitat Jun YB, Smarandache F, Kim CS (2017) Neutrosophic cubic sets. New Math Nat Comput 13:41–54MATHCrossRef Jun YB, Smarandache F, Kim CS (2017) Neutrosophic cubic sets. New Math Nat Comput 13:41–54MATHCrossRef
Zurück zum Zitat Kandasamy I (2018) Double-valued neutrosophic sets, their minimum spanning trees, and clustering algorithm. J Intell Syst 27:163–182CrossRef Kandasamy I (2018) Double-valued neutrosophic sets, their minimum spanning trees, and clustering algorithm. J Intell Syst 27:163–182CrossRef
Zurück zum Zitat Karaaslan F (2016) Correlation coefficient between possibility neutrosophic soft sets. Math Sci Lett 5:71–74CrossRef Karaaslan F (2016) Correlation coefficient between possibility neutrosophic soft sets. Math Sci Lett 5:71–74CrossRef
Zurück zum Zitat Karaaslan F (2017a) Correlation coefficients of single-valued neutrosophic refined soft sets and their applications in clustering analysis. Neural Comput Appl 28:2781–2793CrossRef Karaaslan F (2017a) Correlation coefficients of single-valued neutrosophic refined soft sets and their applications in clustering analysis. Neural Comput Appl 28:2781–2793CrossRef
Zurück zum Zitat Karaaslan F (2017b) Possibility neutrosophic soft sets and PNS-decision making method. Appl Soft Comput 54:403–414CrossRef Karaaslan F (2017b) Possibility neutrosophic soft sets and PNS-decision making method. Appl Soft Comput 54:403–414CrossRef
Zurück zum Zitat Kong L, Wu Y, Ye J (2015) Misfire fault diagnosis method of gasoline engines using the cosine similarity measure of neutrosophic numbers. Neutrosophic Sets Syst 8:42–45 Kong L, Wu Y, Ye J (2015) Misfire fault diagnosis method of gasoline engines using the cosine similarity measure of neutrosophic numbers. Neutrosophic Sets Syst 8:42–45
Zurück zum Zitat Koseoglu MA, Sehitoglu Y, Craft J (2015) Academic foundations of hospitality management research with an emerging country focus: a citation and co-citation analysis. Int J Hosp Manag 45:130–144CrossRef Koseoglu MA, Sehitoglu Y, Craft J (2015) Academic foundations of hospitality management research with an emerging country focus: a citation and co-citation analysis. Int J Hosp Manag 45:130–144CrossRef
Zurück zum Zitat Koundal D, Gupta S, Singh S (2016) Automated delineation of thyroid nodules in ultrasound images using spatial neutrosophic clustering and level set. Appl Soft Comput 40:86–97CrossRef Koundal D, Gupta S, Singh S (2016) Automated delineation of thyroid nodules in ultrasound images using spatial neutrosophic clustering and level set. Appl Soft Comput 40:86–97CrossRef
Zurück zum Zitat Kraipeerapun P, Fung CC, Wong KW (2007) Ensemble neural networks using interval neutrosophic sets and bagging. In: International conference on natural computation, ICNC 2007, Haikou, China, 24–27; pp 386–390 Kraipeerapun P, Fung CC, Wong KW (2007) Ensemble neural networks using interval neutrosophic sets and bagging. In: International conference on natural computation, ICNC 2007, Haikou, China, 24–27; pp 386–390
Zurück zum Zitat Li DY, Meng HJ, Shi XM (1995) Membership clouds and membership cloud generators. J Comput Res Dev 32:15–20 Li DY, Meng HJ, Shi XM (1995) Membership clouds and membership cloud generators. J Comput Res Dev 32:15–20
Zurück zum Zitat Li DY, Liu CY, Du Y, Han X (2004) Artificial intelligence with uncertainty. J Softw 15:1583–1594MATH Li DY, Liu CY, Du Y, Han X (2004) Artificial intelligence with uncertainty. J Softw 15:1583–1594MATH
Zurück zum Zitat Li YH, Liu PD, Chen YB (2016) Some single valued neutrosophic number Heronian mean operators and their application in multiple attribute group decision making. Informatica 27:85–110MATHCrossRef Li YH, Liu PD, Chen YB (2016) Some single valued neutrosophic number Heronian mean operators and their application in multiple attribute group decision making. Informatica 27:85–110MATHCrossRef
Zurück zum Zitat Li YY, Zhang HY, Wang JQ (2017) Linguistic neutrosophic sets and its application to multi-criteria decision-making problems. Int J Uncertain Quantif 7:135–154CrossRef Li YY, Zhang HY, Wang JQ (2017) Linguistic neutrosophic sets and its application to multi-criteria decision-making problems. Int J Uncertain Quantif 7:135–154CrossRef
Zurück zum Zitat Liao HC, Tang M, Luo L, Li CY, Francisco C, Zeng XJ (2018) A bibliometric analysis and visualization of medical big data research. Sustainability 10:1–18CrossRef Liao HC, Tang M, Luo L, Li CY, Francisco C, Zeng XJ (2018) A bibliometric analysis and visualization of medical big data research. Sustainability 10:1–18CrossRef
Zurück zum Zitat Liu PD (2016) The aggregation operators based on archimedean t-Conorm and t-Norm for single-valued neutrosophic numbers and their application to decision making. Int J Fuzzy Syst 18:849–863CrossRef Liu PD (2016) The aggregation operators based on archimedean t-Conorm and t-Norm for single-valued neutrosophic numbers and their application to decision making. Int J Fuzzy Syst 18:849–863CrossRef
Zurück zum Zitat Liu PD, Li H (2017) Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators. Neural Comput Appl 28:179–194CrossRef Liu PD, Li H (2017) Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators. Neural Comput Appl 28:179–194CrossRef
Zurück zum Zitat Liu PD, Liu X (2018) The neutrosophic number generalized weighted power averaging operator and its application in multiple attribute group decision making. Int J Mach Learn Cybern 9:347–358CrossRef Liu PD, Liu X (2018) The neutrosophic number generalized weighted power averaging operator and its application in multiple attribute group decision making. Int J Mach Learn Cybern 9:347–358CrossRef
Zurück zum Zitat Liu CF, Luo YS (2016a) A new method to construct entropy of interval-valued neutrosophic set. Neutrosophic Sets Syst 11:8–11 Liu CF, Luo YS (2016a) A new method to construct entropy of interval-valued neutrosophic set. Neutrosophic Sets Syst 11:8–11
Zurück zum Zitat Liu CF, Luo YS (2016b) Correlated aggregation operators for simplified neutrosophic set and their application in multi-attribute group decision making. Int J Fuzzy Syst 30:1755–1761MATH Liu CF, Luo YS (2016b) Correlated aggregation operators for simplified neutrosophic set and their application in multi-attribute group decision making. Int J Fuzzy Syst 30:1755–1761MATH
Zurück zum Zitat Liu CF, Luo YS (2016c) The weighted distance measure based method to neutrosophic multiattribute group decision making. Math Probl Eng 2016:1–8MathSciNet Liu CF, Luo YS (2016c) The weighted distance measure based method to neutrosophic multiattribute group decision making. Math Probl Eng 2016:1–8MathSciNet
Zurück zum Zitat Liu CF, Luo YS (2016d) Correlation coefficient for the interval-valued neutrosophic hesitant fuzzy set and its use in multi-attribute decision making. In: International conference on engineering technology and application, ICETA 2016, Kyoto, Japan, 28–29; pp 222–227 Liu CF, Luo YS (2016d) Correlation coefficient for the interval-valued neutrosophic hesitant fuzzy set and its use in multi-attribute decision making. In: International conference on engineering technology and application, ICETA 2016, Kyoto, Japan, 28–29; pp 222–227
Zurück zum Zitat Liu PD, Shi L (2015) The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making. Neural Comput Appl 26:457–471CrossRef Liu PD, Shi L (2015) The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making. Neural Comput Appl 26:457–471CrossRef
Zurück zum Zitat Liu P, Shi L (2017) Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making. Neural Comput Appl 28:1079–1093CrossRef Liu P, Shi L (2017) Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making. Neural Comput Appl 28:1079–1093CrossRef
Zurück zum Zitat Liu P, Tang G (2016) Some power generalized aggregation operators based on the interval neutrosophic sets and their application to decision making. J Intell Fuzzy Syst 30:2517–2528MATHCrossRef Liu P, Tang G (2016) Some power generalized aggregation operators based on the interval neutrosophic sets and their application to decision making. J Intell Fuzzy Syst 30:2517–2528MATHCrossRef
Zurück zum Zitat Liu PD, Teng F (2017a) Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator. Int J Mach Learn Cybern 9:281–293CrossRef Liu PD, Teng F (2017a) Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator. Int J Mach Learn Cybern 9:281–293CrossRef
Zurück zum Zitat Liu PD, Teng F (2017b) Multiple attribute group decision making methods based on some normal neutrosophic number Heronian Mean operators. J Intell Fuzzy Syst 32:2375–2391MATHCrossRef Liu PD, Teng F (2017b) Multiple attribute group decision making methods based on some normal neutrosophic number Heronian Mean operators. J Intell Fuzzy Syst 32:2375–2391MATHCrossRef
Zurück zum Zitat Liu P, Wang Y (2014) Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean. Neural Comput Appl 25:2001–2010CrossRef Liu P, Wang Y (2014) Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean. Neural Comput Appl 25:2001–2010CrossRef
Zurück zum Zitat Liu P, Wang Y (2016) Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making. J Syst Sci Complex 29:681–697MATHCrossRef Liu P, Wang Y (2016) Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making. J Syst Sci Complex 29:681–697MATHCrossRef
Zurück zum Zitat Liu PD, Zhang LL (2017a) An extended multiple criteria decision making method based on neutrosophic hesitant fuzzy information. J Intell Fuzzy Syst 32:4403–4413MATHCrossRef Liu PD, Zhang LL (2017a) An extended multiple criteria decision making method based on neutrosophic hesitant fuzzy information. J Intell Fuzzy Syst 32:4403–4413MATHCrossRef
Zurück zum Zitat Liu PD, Zhang LL (2017b) Multiple criteria decision making method based on neutrosophic hesitant fuzzy Heronian mean aggregation operators. J Intell Fuzzy Syst 32:303–319MATHCrossRef Liu PD, Zhang LL (2017b) Multiple criteria decision making method based on neutrosophic hesitant fuzzy Heronian mean aggregation operators. J Intell Fuzzy Syst 32:303–319MATHCrossRef
Zurück zum Zitat Liu PD, Chu YC, Li YW, Chen YB (2014a) Some generalized neutrosophic number hamacher aggregation operators and their application to group decision making. Int J Fuzzy Syst 16:242–255 Liu PD, Chu YC, Li YW, Chen YB (2014a) Some generalized neutrosophic number hamacher aggregation operators and their application to group decision making. Int J Fuzzy Syst 16:242–255
Zurück zum Zitat Liu W, Gu M, Hu G, Li C, Liao H, Tang L (2014b) Profile of developments in biomass-based bioenergy research: a 20-year perspective. Scientometrics 99:507–521CrossRef Liu W, Gu M, Hu G, Li C, Liao H, Tang L (2014b) Profile of developments in biomass-based bioenergy research: a 20-year perspective. Scientometrics 99:507–521CrossRef
Zurück zum Zitat Liu PD, Li HG, Wang P, Liu JL (2016a) ELECTRE method and its application in multiple attribute decision making based on INS. J Shandong Univ Finance Econ 28:80–88 Liu PD, Li HG, Wang P, Liu JL (2016a) ELECTRE method and its application in multiple attribute decision making based on INS. J Shandong Univ Finance Econ 28:80–88
Zurück zum Zitat Liu PD, Liu X, Xu L (2016b) The TOPSIS method for multiple attribute group decision making with interval neutrosophic number based on cloud model. Rev Econ Manag 3:73–78 Liu PD, Liu X, Xu L (2016b) The TOPSIS method for multiple attribute group decision making with interval neutrosophic number based on cloud model. Rev Econ Manag 3:73–78
Zurück zum Zitat Liu PD, Liu JL, Chen SM (2018) Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making. J Oper Res Soc 69:1–24CrossRef Liu PD, Liu JL, Chen SM (2018) Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making. J Oper Res Soc 69:1–24CrossRef
Zurück zum Zitat Lu ZK, Ye J (2017) Exponential operations and an aggregation method for single-valued neutrosophic numbers in decision making. Information 8:1–11CrossRef Lu ZK, Ye J (2017) Exponential operations and an aggregation method for single-valued neutrosophic numbers in decision making. Information 8:1–11CrossRef
Zurück zum Zitat Luca A, Termini S (1972) A definition of non-probabilistic entropy in the setting of fuzzy sets theory. Inf Control 20:301–312MATHCrossRef Luca A, Termini S (1972) A definition of non-probabilistic entropy in the setting of fuzzy sets theory. Inf Control 20:301–312MATHCrossRef
Zurück zum Zitat Lukasiewicz J (1930) Philosophical remarks on many-valued systems of propositional logic. North-Holland, Amsterdam Lukasiewicz J (1930) Philosophical remarks on many-valued systems of propositional logic. North-Holland, Amsterdam
Zurück zum Zitat Lupiáñez FG (2009a) Interval neutrosophic sets and topology. Kybernetes 38:621–624MATHCrossRef Lupiáñez FG (2009a) Interval neutrosophic sets and topology. Kybernetes 38:621–624MATHCrossRef
Zurück zum Zitat Lupiáñez FG (2010) On neutrosophic paraconsistent topology. Kybernetes 38:598–601MATHCrossRef Lupiáñez FG (2010) On neutrosophic paraconsistent topology. Kybernetes 38:598–601MATHCrossRef
Zurück zum Zitat Ma YX, Wang JQ, Wang J, Wu XH (2017) An interval neutrosophic linguistic multi-criteria group decision-making method and its application in selecting medical treatment options. Neural Comput Appl 28:2745–2765CrossRef Ma YX, Wang JQ, Wang J, Wu XH (2017) An interval neutrosophic linguistic multi-criteria group decision-making method and its application in selecting medical treatment options. Neural Comput Appl 28:2745–2765CrossRef
Zurück zum Zitat Maji PK (2012) A neutrosophic soft set approach to a decision making problem. Ann Fuzzy Math Inf 3:313–319MathSciNetMATH Maji PK (2012) A neutrosophic soft set approach to a decision making problem. Ann Fuzzy Math Inf 3:313–319MathSciNetMATH
Zurück zum Zitat Maji PK (2015) Weighted neutrosophic soft sets approach in a multi-criteria decision making problem. J New Theory 5:1–12 Maji PK (2015) Weighted neutrosophic soft sets approach in a multi-criteria decision making problem. J New Theory 5:1–12
Zurück zum Zitat Malik MA, Hassan A, Broumi S, Smarandache F (2016) Regular single valued neutrosophic hypergraphs. Neutrosophic Sets Syst 13:18–23 Malik MA, Hassan A, Broumi S, Smarandache F (2016) Regular single valued neutrosophic hypergraphs. Neutrosophic Sets Syst 13:18–23
Zurück zum Zitat Mandal K, Basu K (2015) Hypercomplex neutrosophic similarity measure and its application in multicriteria decision making problem. Neutrosophic Sets Syst 9:6–12 Mandal K, Basu K (2015) Hypercomplex neutrosophic similarity measure and its application in multicriteria decision making problem. Neutrosophic Sets Syst 9:6–12
Zurück zum Zitat Mandal K, Basu K (2016) Improved similarity measure in neutrosophic environment and its application in finding minimum spanning tree. J Intell Fuzzy Syst 31:1721–1730MATHCrossRef Mandal K, Basu K (2016) Improved similarity measure in neutrosophic environment and its application in finding minimum spanning tree. J Intell Fuzzy Syst 31:1721–1730MATHCrossRef
Zurück zum Zitat Mehra S, Singh M (2017) Single valued neutrosophic signedgraphs. Int J Comput Appl 157:31–34 Mehra S, Singh M (2017) Single valued neutrosophic signedgraphs. Int J Comput Appl 157:31–34
Zurück zum Zitat Merigó JM, Cancino AC, Coronado F, Urbano D (2016) Academic research in innovation: a country analysis. Scientometrics 108:559–593CrossRef Merigó JM, Cancino AC, Coronado F, Urbano D (2016) Academic research in innovation: a country analysis. Scientometrics 108:559–593CrossRef
Zurück zum Zitat Mohan J, Guo Y, Krishnaveni V Jeganathan K (2012a) MRI denoising based on neutrosophic wiener filtering. In: International conference on imaging systems and techniques, ICIST 2012, Manchester, UK, 16–17; pp 327–331 Mohan J, Guo Y, Krishnaveni V Jeganathan K (2012a) MRI denoising based on neutrosophic wiener filtering. In: International conference on imaging systems and techniques, ICIST 2012, Manchester, UK, 16–17; pp 327–331
Zurück zum Zitat Mohan J, Krishnaveni V, Guo Y (2012b) Validating the neutrosophic approach of MRI denoising based on structural similarity. In: IET conference on image processing IETIPR 2012, London, UK, 3–4; pp 1–6 Mohan J, Krishnaveni V, Guo Y (2012b) Validating the neutrosophic approach of MRI denoising based on structural similarity. In: IET conference on image processing IETIPR 2012, London, UK, 3–4; pp 1–6
Zurück zum Zitat Mohan J, Krishnaveni V, Guo Y (2013a) MRI denoising using nonlocal neutrosophic set approach of Wiener filtering. Biomed Signal Process 8:779–791CrossRef Mohan J, Krishnaveni V, Guo Y (2013a) MRI denoising using nonlocal neutrosophic set approach of Wiener filtering. Biomed Signal Process 8:779–791CrossRef
Zurück zum Zitat Mohan J, Krishnaveni V, Guo Y (2013b) A new neutrosophic approach of Wiener filtering for MRI denoising. Meas Sci Rev 13:177–186CrossRef Mohan J, Krishnaveni V, Guo Y (2013b) A new neutrosophic approach of Wiener filtering for MRI denoising. Meas Sci Rev 13:177–186CrossRef
Zurück zum Zitat Mondal K, Pramanik S (2014) Multi-criteria group decision making approach for teacher recruitment in higher education under simplified neutrosophic environment. Neutrosophic Sets Syst 6:28–34 Mondal K, Pramanik S (2014) Multi-criteria group decision making approach for teacher recruitment in higher education under simplified neutrosophic environment. Neutrosophic Sets Syst 6:28–34
Zurück zum Zitat Mondal K, Pramanik S (2015a) Neutrosophic decision making model for clay-brick selection in construction field based on grey relational analysis. Neutrosophic Sets Syst 9:64–71 Mondal K, Pramanik S (2015a) Neutrosophic decision making model for clay-brick selection in construction field based on grey relational analysis. Neutrosophic Sets Syst 9:64–71
Zurück zum Zitat Mondal K, Pramanik S (2015b) Neutrosophic decision making model of school choice. Neutrosophic Sets Syst 7:62–68 Mondal K, Pramanik S (2015b) Neutrosophic decision making model of school choice. Neutrosophic Sets Syst 7:62–68
Zurück zum Zitat Mondal K, Pramanik S (2015c) Neutrosophic refined similarity measure based on cotangent function and its application to multi-attribute decision making. J New Theory 8:41–50 Mondal K, Pramanik S (2015c) Neutrosophic refined similarity measure based on cotangent function and its application to multi-attribute decision making. J New Theory 8:41–50
Zurück zum Zitat Mondal K, Pramanik S (2015d) Neutrosophic tangent similarity measure and its application to multiple attribute decision making. Neutrosophic Sets Syst 9:85–92 Mondal K, Pramanik S (2015d) Neutrosophic tangent similarity measure and its application to multiple attribute decision making. Neutrosophic Sets Syst 9:85–92
Zurück zum Zitat Mondal K, Pramanik S (2015e) Rough neutrosophic multiattribute decision-making based on grey relational analysis. Neutrosophic Sets Syst 7:8–17 Mondal K, Pramanik S (2015e) Rough neutrosophic multiattribute decision-making based on grey relational analysis. Neutrosophic Sets Syst 7:8–17
Zurück zum Zitat Mondal K, Pramanik S, Smarandache F (2016) Rough neutrosophic TOPSIS for multi-attribute group decision making. Neutrosophic Sets Syst 13:105–117 Mondal K, Pramanik S, Smarandache F (2016) Rough neutrosophic TOPSIS for multi-attribute group decision making. Neutrosophic Sets Syst 13:105–117
Zurück zum Zitat Mukherjee A, Sarkar S (2014a) Several similarity measures of interval valued neutrosophic soft sets and their application in pattern recognition problems. Neutrosophic Sets Syst 6:54–60 Mukherjee A, Sarkar S (2014a) Several similarity measures of interval valued neutrosophic soft sets and their application in pattern recognition problems. Neutrosophic Sets Syst 6:54–60
Zurück zum Zitat Mukherjee A, Sarkar S (2014b) Several similarity measures of neutrosophic soft sets and its application in real life problems. Ann Pure Appl Math 7:1–6 Mukherjee A, Sarkar S (2014b) Several similarity measures of neutrosophic soft sets and its application in real life problems. Ann Pure Appl Math 7:1–6
Zurück zum Zitat Mukherjee A, Sarkar S (2015) A new method of measuring similarity between two neutrosophic soft sets and its application in pattern recognition problems. Neutrosophic Sets Syst 8:63–68 Mukherjee A, Sarkar S (2015) A new method of measuring similarity between two neutrosophic soft sets and its application in pattern recognition problems. Neutrosophic Sets Syst 8:63–68
Zurück zum Zitat Murofushi T, Sugeno M (1989) An interpretation of fuzzy measure and the Choquet integral as an integral with respect to a fuzzy measure. Fuzzy Sets Syst 29:201–227MathSciNetMATHCrossRef Murofushi T, Sugeno M (1989) An interpretation of fuzzy measure and the Choquet integral as an integral with respect to a fuzzy measure. Fuzzy Sets Syst 29:201–227MathSciNetMATHCrossRef
Zurück zum Zitat Nǎdǎban S, Dzitac S (2016) Neutrosophic TOPSIS: a general view. In: International conference on computers communications and control, ICCCC, Oradea, Romania, 10–14 May 2016; pp 250–253 Nǎdǎban S, Dzitac S (2016) Neutrosophic TOPSIS: a general view. In: International conference on computers communications and control, ICCCC, Oradea, Romania, 10–14 May 2016; pp 250–253
Zurück zum Zitat Nancy H, Garg H (2016a) An improved score function for ranking neutrosophic sets and its application to decision-making process. Int J Uncertain Quantif 6:377–385CrossRef Nancy H, Garg H (2016a) An improved score function for ranking neutrosophic sets and its application to decision-making process. Int J Uncertain Quantif 6:377–385CrossRef
Zurück zum Zitat Nancy H, Garg H (2016b) Novel single-valued neutrosophic aggregated operators under Frank norm operation and its application to decision-making process. Int J Uncertain Quantif 6:361–375CrossRef Nancy H, Garg H (2016b) Novel single-valued neutrosophic aggregated operators under Frank norm operation and its application to decision-making process. Int J Uncertain Quantif 6:361–375CrossRef
Zurück zum Zitat Naz S, Rashmanlou H, Malik MA (2017) Operations on single valued neutrosophic graphs with application. J Intell Fuzzy Syst 32:2137–2151MATHCrossRef Naz S, Rashmanlou H, Malik MA (2017) Operations on single valued neutrosophic graphs with application. J Intell Fuzzy Syst 32:2137–2151MATHCrossRef
Zurück zum Zitat Paras C, Mittal R, Grewal K (2012) Hybrid filtering technique for image denoising using artificial neural network. Int J Eng Adv Technol 1:36–40 Paras C, Mittal R, Grewal K (2012) Hybrid filtering technique for image denoising using artificial neural network. Int J Eng Adv Technol 1:36–40
Zurück zum Zitat Peng XD, Dai JG (2017a) Algorithms for interval neutrosophic multiple attribute decision making based on MABAC, similarity measure and EDAS. Int J Uncertain Quantif 7:395–421CrossRef Peng XD, Dai JG (2017a) Algorithms for interval neutrosophic multiple attribute decision making based on MABAC, similarity measure and EDAS. Int J Uncertain Quantif 7:395–421CrossRef
Zurück zum Zitat Peng XD, Dai JG (2017b) Approaches to Pythagorean fuzzy stochastic multi-criteria decision making based on prospect theory and regret theory with new distance measure and score function. Int J Intell Syst 32:1187–1214CrossRef Peng XD, Dai JG (2017b) Approaches to Pythagorean fuzzy stochastic multi-criteria decision making based on prospect theory and regret theory with new distance measure and score function. Int J Intell Syst 32:1187–1214CrossRef
Zurück zum Zitat Peng XD, Dai JG (2018) Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Comput Appl 29:939–954CrossRef Peng XD, Dai JG (2018) Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Comput Appl 29:939–954CrossRef
Zurück zum Zitat Peng XD, Garg H (2018) Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure. Comput Ind Eng 54:439–452CrossRef Peng XD, Garg H (2018) Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure. Comput Ind Eng 54:439–452CrossRef
Zurück zum Zitat Peng XD, Liu C (2017) Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. J Intell Fuzzy Syst 32:955–968MATHCrossRef Peng XD, Liu C (2017) Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. J Intell Fuzzy Syst 32:955–968MATHCrossRef
Zurück zum Zitat Peng JJ, Wang JQ (2015) Multi-valued neutrosophic sets and its application in multi-criteria decision-making problems. Neutrosophic Sets Syst 3:3–20 Peng JJ, Wang JQ (2015) Multi-valued neutrosophic sets and its application in multi-criteria decision-making problems. Neutrosophic Sets Syst 3:3–20
Zurück zum Zitat Peng XD, Yang Y (2017) Algorithms for interval-valued fuzzy soft sets in stochastic multi-criteria decision making based on regret theory and prospect theory with combined weight. Appl Soft Comput 54:415–430CrossRef Peng XD, Yang Y (2017) Algorithms for interval-valued fuzzy soft sets in stochastic multi-criteria decision making based on regret theory and prospect theory with combined weight. Appl Soft Comput 54:415–430CrossRef
Zurück zum Zitat Peng JJ, Wang JQ, Zhang HY, Chen XQ (2014) An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets. Appl Soft Comput 25:336–346CrossRef Peng JJ, Wang JQ, Zhang HY, Chen XQ (2014) An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets. Appl Soft Comput 25:336–346CrossRef
Zurück zum Zitat Peng JJ, Wang JQ, Wu XH, Wang J, Chen XH (2015a) Multi-valued neutrosophic sets and power aggregation operators with their applications in multi-criteria group decision-making problems. Int J Comput Intell Syst 8:345–363CrossRef Peng JJ, Wang JQ, Wu XH, Wang J, Chen XH (2015a) Multi-valued neutrosophic sets and power aggregation operators with their applications in multi-criteria group decision-making problems. Int J Comput Intell Syst 8:345–363CrossRef
Zurück zum Zitat Peng XD, Yang Y, Zhu YL (2015b) Similarity measure and its application based on multiparametric intuitionistic fuzzy sets. Comput Eng Appl 51:122–125 Peng XD, Yang Y, Zhu YL (2015b) Similarity measure and its application based on multiparametric intuitionistic fuzzy sets. Comput Eng Appl 51:122–125
Zurück zum Zitat Peng JJ, Wang JQ, Wang J, Zhang HY, Chen XH (2016a) Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int J Syst Sci 47:2342–2358MATHCrossRef Peng JJ, Wang JQ, Wang J, Zhang HY, Chen XH (2016a) Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int J Syst Sci 47:2342–2358MATHCrossRef
Zurück zum Zitat Peng JJ, Wang JQ, Yang LJ, Qian J (2017a) A novel multi-criteria group decision-making approach using simplified neutrosophic information. Int J Uncertain Quantif 7:355–376CrossRef Peng JJ, Wang JQ, Yang LJ, Qian J (2017a) A novel multi-criteria group decision-making approach using simplified neutrosophic information. Int J Uncertain Quantif 7:355–376CrossRef
Zurück zum Zitat Peng JJ, Wang JQ, Yang WE (2017b) A multi-valued neutrosophic qualitative flexible approach based on likelihood for multi-criteria decision-making problems. Int J Syst Sci 48:425–435MathSciNetMATHCrossRef Peng JJ, Wang JQ, Yang WE (2017b) A multi-valued neutrosophic qualitative flexible approach based on likelihood for multi-criteria decision-making problems. Int J Syst Sci 48:425–435MathSciNetMATHCrossRef
Zurück zum Zitat Peng JJ, Wang JQ, Wu XH (2017c) An extension of the ELECTRE approach with multi-valued neutrosophic information. Neural Comput Appl 28:1011–1022CrossRef Peng JJ, Wang JQ, Wu XH (2017c) An extension of the ELECTRE approach with multi-valued neutrosophic information. Neural Comput Appl 28:1011–1022CrossRef
Zurück zum Zitat Peng XD, Yuan HY, Yang Y (2017d) Pythagorean fuzzy information measures and their applications. Int J Intell Syst 32:991–1029CrossRef Peng XD, Yuan HY, Yang Y (2017d) Pythagorean fuzzy information measures and their applications. Int J Intell Syst 32:991–1029CrossRef
Zurück zum Zitat Pinto M, Pulgarin A, Escalona MI (2014) Viewing information literacy concepts: a comparison of two branches of knowledge. Scientometrics 98:2311–2329CrossRef Pinto M, Pulgarin A, Escalona MI (2014) Viewing information literacy concepts: a comparison of two branches of knowledge. Scientometrics 98:2311–2329CrossRef
Zurück zum Zitat Pouresmaeil H, Shivanian E, Khorram E, Fathabadi H (2017) An extended method using TOPSIS and VIKOR for multiple attribute decision making with multiple decision makers and single valued neutrosophic numbers. Adv Appl Stat 50:261–292MATH Pouresmaeil H, Shivanian E, Khorram E, Fathabadi H (2017) An extended method using TOPSIS and VIKOR for multiple attribute decision making with multiple decision makers and single valued neutrosophic numbers. Adv Appl Stat 50:261–292MATH
Zurück zum Zitat Pramanik S, Dalapati S (2016) GRA based multi-criteria decision making in generalized neutrosophic soft set environment. Glob J Eng Sci Res Manag 3:153–169 Pramanik S, Dalapati S (2016) GRA based multi-criteria decision making in generalized neutrosophic soft set environment. Glob J Eng Sci Res Manag 3:153–169
Zurück zum Zitat Pramanik S, Mondal K (2015a) Cosine similarity measure of rough neutrosophic sets and its application in medical diagnosis. Glob J Adv Res 2:212–220 Pramanik S, Mondal K (2015a) Cosine similarity measure of rough neutrosophic sets and its application in medical diagnosis. Glob J Adv Res 2:212–220
Zurück zum Zitat Pramanik S, Mondal K (2015b) Cotangent similarity measure of rough neutrosophic sets and its application to medical diagnosis. J New Theory 4:90–102 Pramanik S, Mondal K (2015b) Cotangent similarity measure of rough neutrosophic sets and its application to medical diagnosis. J New Theory 4:90–102
Zurück zum Zitat Pramanik S, Mondal K (2015c) Interval neutrosophic multi-attribute decision-making based on grey relational analysis. Neutrosophic Sets Syst 9:13–22 Pramanik S, Mondal K (2015c) Interval neutrosophic multi-attribute decision-making based on grey relational analysis. Neutrosophic Sets Syst 9:13–22
Zurück zum Zitat Pramanik S, Mondal K (2015d) Some rough neutrosophic similarity measure and their application to multi attribute decision making. Glob J Eng Sci Res Manag 2:61–74 Pramanik S, Mondal K (2015d) Some rough neutrosophic similarity measure and their application to multi attribute decision making. Glob J Eng Sci Res Manag 2:61–74
Zurück zum Zitat Pramanik S, Dey PP, Giri BC (2015) TOPSIS for single valued neutrosophic soft expert set based multi-attribute decision making problems. Neutrosophic Sets Syst 10:88–95 Pramanik S, Dey PP, Giri BC (2015) TOPSIS for single valued neutrosophic soft expert set based multi-attribute decision making problems. Neutrosophic Sets Syst 10:88–95
Zurück zum Zitat Pramanik S, Banerjee D, Giri BC (2016) TOPSIS approach for multi attribute group decision making in refined neutrosophic environment. In: New trends in neutrosophic theory and applications; Smarandache F, Pramanik; Publishing House, Pons asbl, Brussels, pp 79–91 Pramanik S, Banerjee D, Giri BC (2016) TOPSIS approach for multi attribute group decision making in refined neutrosophic environment. In: New trends in neutrosophic theory and applications; Smarandache F, Pramanik; Publishing House, Pons asbl, Brussels, pp 79–91
Zurück zum Zitat Pramanik S, Biswas P, Giri BC (2017a) Hybrid vector similarity measures and their applications to multi-attribute decision making under neutrosophic environment. Neural Comput Appl 28:1163–1176CrossRef Pramanik S, Biswas P, Giri BC (2017a) Hybrid vector similarity measures and their applications to multi-attribute decision making under neutrosophic environment. Neural Comput Appl 28:1163–1176CrossRef
Zurück zum Zitat Pramanik S, Dey PP, Giri BC, Smarandache F (2017b) Bipolar neutrosophic projection based models for solving multi-attribute decision making problems. Neutrosophic Sets Syst 15:70–79 Pramanik S, Dey PP, Giri BC, Smarandache F (2017b) Bipolar neutrosophic projection based models for solving multi-attribute decision making problems. Neutrosophic Sets Syst 15:70–79
Zurück zum Zitat Qi X, Liu B, Xu J (2016) A neutrosophic filter for high-density salt and pepper noise based on pixel-wise adaptive smoothing parameter. J Vis Commun Image Represent 36:1–10CrossRef Qi X, Liu B, Xu J (2016) A neutrosophic filter for high-density salt and pepper noise based on pixel-wise adaptive smoothing parameter. J Vis Commun Image Represent 36:1–10CrossRef
Zurück zum Zitat Rajeswara R, Naga R, Diwaker R, Krishnaiah G (2016) Lean supplier selection based on hybrid MCGDM approach using interval valued neutrosophic sets: a case study. Int J Innov Res Dev 5:291–296 Rajeswara R, Naga R, Diwaker R, Krishnaiah G (2016) Lean supplier selection based on hybrid MCGDM approach using interval valued neutrosophic sets: a case study. Int J Innov Res Dev 5:291–296
Zurück zum Zitat Reyes GL, Gonzalez CNB, Veloso F (2016) Using co-authorship and citation analysis to identify research groups: a new way to assess performance. Scientometrics 108:1171–1191CrossRef Reyes GL, Gonzalez CNB, Veloso F (2016) Using co-authorship and citation analysis to identify research groups: a new way to assess performance. Scientometrics 108:1171–1191CrossRef
Zurück zum Zitat Şahin R (2017a) Cross-entropy measure on interval neutrosophic sets and its applications in multicriteria decision making. Neural Comput Appl 28:1177–1187CrossRef Şahin R (2017a) Cross-entropy measure on interval neutrosophic sets and its applications in multicriteria decision making. Neural Comput Appl 28:1177–1187CrossRef
Zurück zum Zitat Sahin R, Karabacak M (2015) A multi attribute decision making method based on inclusion measure for interval neutrosophic sets. Int J Eng Appl Sci 2:13–15 Sahin R, Karabacak M (2015) A multi attribute decision making method based on inclusion measure for interval neutrosophic sets. Int J Eng Appl Sci 2:13–15
Zurück zum Zitat Şahin R, Küçük A (2015) Subsethood measure for single valued neutrosophic sets. J Intell Fuzzy Syst 29:525–530MATHCrossRef Şahin R, Küçük A (2015) Subsethood measure for single valued neutrosophic sets. J Intell Fuzzy Syst 29:525–530MATHCrossRef
Zurück zum Zitat Şahin R, Liu P (2016) Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information. Neural Comput Appl 27:2017–2029CrossRef Şahin R, Liu P (2016) Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information. Neural Comput Appl 27:2017–2029CrossRef
Zurück zum Zitat Şahin R, Liu P (2017a) Some approaches to multi criteria decision making based on exponential operations of simplified neutrosophic numbers. J Intell Fuzzy Syst 32:2083–2099MATHCrossRef Şahin R, Liu P (2017a) Some approaches to multi criteria decision making based on exponential operations of simplified neutrosophic numbers. J Intell Fuzzy Syst 32:2083–2099MATHCrossRef
Zurück zum Zitat Şahin R, Liu PD (2017b) Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making. Neural Comput Appl 28:1387–1395CrossRef Şahin R, Liu PD (2017b) Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making. Neural Comput Appl 28:1387–1395CrossRef
Zurück zum Zitat Şahin R, Liu PD (2017c) Possibility-induced simplified neutrosophic aggregation operators and their application to multi-criteria group decision-making. J Exp Theor Artif Intell 29:769–785CrossRef Şahin R, Liu PD (2017c) Possibility-induced simplified neutrosophic aggregation operators and their application to multi-criteria group decision-making. J Exp Theor Artif Intell 29:769–785CrossRef
Zurück zum Zitat Şahin R, Yiǧider M (2014) A Multi-criteria neutrosophic group decision making metod based TOPSIS for supplier selection. Preprint arXiv:1412.5077 Şahin R, Yiǧider M (2014) A Multi-criteria neutrosophic group decision making metod based TOPSIS for supplier selection. Preprint arXiv:​1412.​5077
Zurück zum Zitat Sahin M, Olgun N, Uluçay V, Kargın A, Smarandache F (2017) A new similarity measure based on falsity value between single valued neutrosophic sets based on the centroid points of transformed single valued neutrosophic numbers with applications to pattern recognition. Neutrosophic Sets Syst 15:31–48 Sahin M, Olgun N, Uluçay V, Kargın A, Smarandache F (2017) A new similarity measure based on falsity value between single valued neutrosophic sets based on the centroid points of transformed single valued neutrosophic numbers with applications to pattern recognition. Neutrosophic Sets Syst 15:31–48
Zurück zum Zitat Sayed GI, Hassanien AE (2017) Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images. Appl Intell 47:397–408CrossRef Sayed GI, Hassanien AE (2017) Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images. Appl Intell 47:397–408CrossRef
Zurück zum Zitat Sayed GI, Ali MA, Gaber T, Hassanien AE, Snasel V (2015). A hybrid segmentation approach based on neutrosophic sets and modified watershed: a case of abdominal CT liver parenchyma. In: International computer engineering conference, ICENCO 2015, Cairo, Egypt, 29–30; pp 144–149 Sayed GI, Ali MA, Gaber T, Hassanien AE, Snasel V (2015). A hybrid segmentation approach based on neutrosophic sets and modified watershed: a case of abdominal CT liver parenchyma. In: International computer engineering conference, ICENCO 2015, Cairo, Egypt, 29–30; pp 144–149
Zurück zum Zitat Sengur A, Guo Y (2011) Color texture image segmentation based on neutrosophic set and wavelet transformation. Comput Vis Image Underst 115:1134–1144CrossRef Sengur A, Guo Y (2011) Color texture image segmentation based on neutrosophic set and wavelet transformation. Comput Vis Image Underst 115:1134–1144CrossRef
Zurück zum Zitat Shah N, Broumi S (2016) Irregular neutrosophic graphs. Neutrosophic Sets Syst 13:47–55 Shah N, Broumi S (2016) Irregular neutrosophic graphs. Neutrosophic Sets Syst 13:47–55
Zurück zum Zitat Shah N, Hussain A (2016) Neutrosophic soft graphs. Neutrosophic Sets Syst 11:31–44 Shah N, Hussain A (2016) Neutrosophic soft graphs. Neutrosophic Sets Syst 11:31–44
Zurück zum Zitat Shan J, Cheng HD, Wang Y (2012) A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering. Med Phys 39:5669–5682CrossRef Shan J, Cheng HD, Wang Y (2012) A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering. Med Phys 39:5669–5682CrossRef
Zurück zum Zitat Shi LL (2016) Correlation coefficient of simplified neutrosophic sets for bearing fault diagnosis. Shock Vib 2016:1–11 Shi LL (2016) Correlation coefficient of simplified neutrosophic sets for bearing fault diagnosis. Shock Vib 2016:1–11
Zurück zum Zitat Singh PK (2017) Three-way fuzzy concept lattice representation using neutrosophic set. Int J Mach Learn Cybern 8:69–79CrossRef Singh PK (2017) Three-way fuzzy concept lattice representation using neutrosophic set. Int J Mach Learn Cybern 8:69–79CrossRef
Zurück zum Zitat Small H (1973) Co-citation in the scientific literature: a new measure of the relationship between two documents. J Am Soc Inf Sci 24:265–269CrossRef Small H (1973) Co-citation in the scientific literature: a new measure of the relationship between two documents. J Am Soc Inf Sci 24:265–269CrossRef
Zurück zum Zitat Smarandache F (1998) Neutrosophy: neutrosophic probability, set, and logic. American Research Press, RehobothMATH Smarandache F (1998) Neutrosophy: neutrosophic probability, set, and logic. American Research Press, RehobothMATH
Zurück zum Zitat Smarandache F (1999) A unifying field in logic. Neutrosophy: neutrosophic probability, set, and logic. American Research Press, RehobothMATH Smarandache F (1999) A unifying field in logic. Neutrosophy: neutrosophic probability, set, and logic. American Research Press, RehobothMATH
Zurück zum Zitat Smarandache F (2013) n-Valued refined neutrosophic logic and its applications to physics. Prog Phys 4:143–146 Smarandache F (2013) n-Valued refined neutrosophic logic and its applications to physics. Prog Phys 4:143–146
Zurück zum Zitat Stanujkic D, Smarandache F, Zavadskas EM, Karabasevic D (2016) Multiple criteria evaluation model based on the single valued neutrosophic set. Neutrosophic Sets Syst 14:3–6 Stanujkic D, Smarandache F, Zavadskas EM, Karabasevic D (2016) Multiple criteria evaluation model based on the single valued neutrosophic set. Neutrosophic Sets Syst 14:3–6
Zurück zum Zitat Stanujkic D, Zavadskas EK, Smarandache F, Brauers W, Karabasevic D (2017) A neutrosophic extension of the MULTIMOORA method. J Intell Fuzzy Syst 28:181–192 Stanujkic D, Zavadskas EK, Smarandache F, Brauers W, Karabasevic D (2017) A neutrosophic extension of the MULTIMOORA method. J Intell Fuzzy Syst 28:181–192
Zurück zum Zitat Sun H, Sun M (2012) Generalized Bonferroni harmonic mean operators and their application to multiple attribute decision making. J Comput Inf Syst 8:5717–5724 Sun H, Sun M (2012) Generalized Bonferroni harmonic mean operators and their application to multiple attribute decision making. J Comput Inf Syst 8:5717–5724
Zurück zum Zitat Sun HX, Yang HX, Wu JZ, Yao OY (2015) Interval neutrosophic numbers Choquet integral operator for multi-criteria decision making. J Intell Fuzzy Syst 28:2443–2455MathSciNetMATHCrossRef Sun HX, Yang HX, Wu JZ, Yao OY (2015) Interval neutrosophic numbers Choquet integral operator for multi-criteria decision making. J Intell Fuzzy Syst 28:2443–2455MathSciNetMATHCrossRef
Zurück zum Zitat Tan R, Zhang W, Chen S (2017a) Some generalized single valued neutrosophic linguistic operators and their application to multiple attribute group decision making. J Syst Sci Inf 5:148–162 Tan R, Zhang W, Chen S (2017a) Some generalized single valued neutrosophic linguistic operators and their application to multiple attribute group decision making. J Syst Sci Inf 5:148–162
Zurück zum Zitat Tan RP, Zhang WD, Chen LL (2017b) Study on emergency group decision making method based on VIKOR with single valued neutrosophic sets. J Saf Sci Technol 13:79–84 Tan RP, Zhang WD, Chen LL (2017b) Study on emergency group decision making method based on VIKOR with single valued neutrosophic sets. J Saf Sci Technol 13:79–84
Zurück zum Zitat Tian ZP, Zhang HY, Wang J, Wang JQ (2016a) Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets. Int J Syst Sci 47:3598–3608MATHCrossRef Tian ZP, Zhang HY, Wang J, Wang JQ (2016a) Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets. Int J Syst Sci 47:3598–3608MATHCrossRef
Zurück zum Zitat Tian ZP, Wang J, Wang JQ, Zhang HY (2016b) Simplified neutrosophic linguistic normalized weighted Bonferroni mean operator and its application to multi-criteria decision-making problems. Filomat 30:3339–3360MATHCrossRef Tian ZP, Wang J, Wang JQ, Zhang HY (2016b) Simplified neutrosophic linguistic normalized weighted Bonferroni mean operator and its application to multi-criteria decision-making problems. Filomat 30:3339–3360MATHCrossRef
Zurück zum Zitat Tian ZP, Wang J, Zhang HY, Wang JQ (2017a) Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decis Negot 26:597–627CrossRef Tian ZP, Wang J, Zhang HY, Wang JQ (2017a) Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decis Negot 26:597–627CrossRef
Zurück zum Zitat Tian ZP, Wang J, Wang JQ, Zhang HY (2017b) An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information. Neural Comput Appl 28:585–597CrossRef Tian ZP, Wang J, Wang JQ, Zhang HY (2017b) An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information. Neural Comput Appl 28:585–597CrossRef
Zurück zum Zitat Tian ZP, Wang J, Wang JQ, Zhang HY (2017c) Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decis Negot 26:597–627CrossRef Tian ZP, Wang J, Wang JQ, Zhang HY (2017c) Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decis Negot 26:597–627CrossRef
Zurück zum Zitat Tian ZP, Wang J, Zhang HY, Wang JQ (2018) Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment. Int J Mach Learn Cybern 9:523–539CrossRef Tian ZP, Wang J, Zhang HY, Wang JQ (2018) Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment. Int J Mach Learn Cybern 9:523–539CrossRef
Zurück zum Zitat Wang PZ (1983) Fuzzy sets and its applications. Shanghai Science and Technology Press, ShanghaiMATH Wang PZ (1983) Fuzzy sets and its applications. Shanghai Science and Technology Press, ShanghaiMATH
Zurück zum Zitat Wang Z (2016) Optimized GCA based on interval neutrosophic sets for urban flood control and disaster reduction program evaluation. Rev Téc Ing Univ Zulia 39:151–158 Wang Z (2016) Optimized GCA based on interval neutrosophic sets for urban flood control and disaster reduction program evaluation. Rev Téc Ing Univ Zulia 39:151–158
Zurück zum Zitat Wang JQ, Li XE (2015) An application of the TODIM method with multi-valued neutrosophic set. Control Decis 30:1139–1142MathSciNet Wang JQ, Li XE (2015) An application of the TODIM method with multi-valued neutrosophic set. Control Decis 30:1139–1142MathSciNet
Zurück zum Zitat Wang Z, Liu L (2016) Optimized PROMETHEE based on interval neutrosophic sets for new energy storage alternative selection. Rev Téc Ing Univ Zulia 39:69–77 Wang Z, Liu L (2016) Optimized PROMETHEE based on interval neutrosophic sets for new energy storage alternative selection. Rev Téc Ing Univ Zulia 39:69–77
Zurück zum Zitat Wang NN, Zhang HY (2017) Probability multi-valued linguistic neutrosophic sets for multi-criteria group decision-making. Int J Uncertain Quantif 7:207–228CrossRef Wang NN, Zhang HY (2017) Probability multi-valued linguistic neutrosophic sets for multi-criteria group decision-making. Int J Uncertain Quantif 7:207–228CrossRef
Zurück zum Zitat Wang H, Smarandache F, Zhang YQ, Sunderraman R (2005a) Interval neutrosophic sets and logic: theory and applications in computing. Hexis, PhoenixMATH Wang H, Smarandache F, Zhang YQ, Sunderraman R (2005a) Interval neutrosophic sets and logic: theory and applications in computing. Hexis, PhoenixMATH
Zurück zum Zitat Wang H, Smarandache F, Zhang YQ (2005b) Interval neutrosophic sets and logic: theory and applications in computing. Comput Sci 65:87MathSciNetMATH Wang H, Smarandache F, Zhang YQ (2005b) Interval neutrosophic sets and logic: theory and applications in computing. Comput Sci 65:87MathSciNetMATH
Zurück zum Zitat Wang H, Smarandache F, Zhang YQ, Sunderraman R (2010) Single valued neutrosophic sets. Multispace Multistructure 4:410–413MATH Wang H, Smarandache F, Zhang YQ, Sunderraman R (2010) Single valued neutrosophic sets. Multispace Multistructure 4:410–413MATH
Zurück zum Zitat Wang JQ, Peng L, Zhang HY, Chen XH (2014) Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information. Inf Sci 274:177–191MathSciNetMATHCrossRef Wang JQ, Peng L, Zhang HY, Chen XH (2014) Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information. Inf Sci 274:177–191MathSciNetMATHCrossRef
Zurück zum Zitat Wang N, Liang H, Jia Y, Ge S, Xue Y, Wang Z (2016b) Cloud computing research in the IS discipline: a citation/co-citation analysis. Decis Support Syst 86:35–47CrossRef Wang N, Liang H, Jia Y, Ge S, Xue Y, Wang Z (2016b) Cloud computing research in the IS discipline: a citation/co-citation analysis. Decis Support Syst 86:35–47CrossRef
Zurück zum Zitat White HD, Griffith BC (1981) Author cocitation: a literature measure of intellectual structure. J Am Soc Inf Sci 32:163–171CrossRef White HD, Griffith BC (1981) Author cocitation: a literature measure of intellectual structure. J Am Soc Inf Sci 32:163–171CrossRef
Zurück zum Zitat Wu XH, Wang JQ (2017) Cross-entropy measures of multivalued neutrosophic sets and its application in selecting middle-level manager. Int J Uncertain Quantif 7:155–176CrossRef Wu XH, Wang JQ (2017) Cross-entropy measures of multivalued neutrosophic sets and its application in selecting middle-level manager. Int J Uncertain Quantif 7:155–176CrossRef
Zurück zum Zitat Wu X, Wang JQ, Peng JJ, Chen XH (2016) Cross-entropy and prioritized aggregation operator with simplified neutrosophic sets and their application in multi-criteria decision-making problems. Int J Fuzzy Syst 18:1104–1116CrossRef Wu X, Wang JQ, Peng JJ, Chen XH (2016) Cross-entropy and prioritized aggregation operator with simplified neutrosophic sets and their application in multi-criteria decision-making problems. Int J Fuzzy Syst 18:1104–1116CrossRef
Zurück zum Zitat Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst Man Cybern Syst 18:183–190MathSciNetMATHCrossRef Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst Man Cybern Syst 18:183–190MathSciNetMATHCrossRef
Zurück zum Zitat Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybern 31:724–731CrossRef Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybern 31:724–731CrossRef
Zurück zum Zitat Yang LH, Li BL (2016) A multi-criteria decision-making method using power aggregation operators for single-valued neutrosophic sets. Int J Database Theory Appl 9:23–32CrossRef Yang LH, Li BL (2016) A multi-criteria decision-making method using power aggregation operators for single-valued neutrosophic sets. Int J Database Theory Appl 9:23–32CrossRef
Zurück zum Zitat Yang XJ, Yan LL, Peng H, Gao XD (2014) Encoding words into cloud models from interval-valued data via fuzzy statistics and membership function fitting. Knowl Based Syst 55:114–124CrossRef Yang XJ, Yan LL, Peng H, Gao XD (2014) Encoding words into cloud models from interval-valued data via fuzzy statistics and membership function fitting. Knowl Based Syst 55:114–124CrossRef
Zurück zum Zitat Yang HL, Guo ZL, She YH, Liao XW (2016) On single valued neutrosophic relations. J Intell Fuzzy Syst 30:1045–1056MATHCrossRef Yang HL, Guo ZL, She YH, Liao XW (2016) On single valued neutrosophic relations. J Intell Fuzzy Syst 30:1045–1056MATHCrossRef
Zurück zum Zitat Yang HL, Zhang CL, Guo ZL, Liu YL, Liao XW (2017a) A hybrid model of single valued neutrosophic sets and rough sets: single valued neutrosophic rough set model. Soft Comput 21:6253–6267MATHCrossRef Yang HL, Zhang CL, Guo ZL, Liu YL, Liao XW (2017a) A hybrid model of single valued neutrosophic sets and rough sets: single valued neutrosophic rough set model. Soft Comput 21:6253–6267MATHCrossRef
Zurück zum Zitat Yang W, Shi J, Pang Y, Zheng X (2018) Linear assignment method for interval neutrosophic sets. Neural Comput Appl 29:553–564CrossRef Yang W, Shi J, Pang Y, Zheng X (2018) Linear assignment method for interval neutrosophic sets. Neural Comput Appl 29:553–564CrossRef
Zurück zum Zitat Ye J (2013a) Another form of correlation coefficient between single valued neutrosophic sets and its multiple attribute decision-making method. Neutrosophic Sets Syst 1:8–12 Ye J (2013a) Another form of correlation coefficient between single valued neutrosophic sets and its multiple attribute decision-making method. Neutrosophic Sets Syst 1:8–12
Zurück zum Zitat Ye J (2013b) Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment. Int J Gen Syst 42:386–394MathSciNetMATHCrossRef Ye J (2013b) Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment. Int J Gen Syst 42:386–394MathSciNetMATHCrossRef
Zurück zum Zitat Ye J (2014a) Improved correlation coefficients of single valued neutrosophic sets and interval neutrosophic sets for multiple attribute decision making. J Intell Fuzzy Syst 27:2453–2462MATHCrossRef Ye J (2014a) Improved correlation coefficients of single valued neutrosophic sets and interval neutrosophic sets for multiple attribute decision making. J Intell Fuzzy Syst 27:2453–2462MATHCrossRef
Zurück zum Zitat Ye J (2014b) Multiple attribute group decision-making method with completely unknown weights based on similarity measures under single valued neutrosophic environment. J Intell Fuzzy Syst 27:2927–2935MathSciNetCrossRef Ye J (2014b) Multiple attribute group decision-making method with completely unknown weights based on similarity measures under single valued neutrosophic environment. J Intell Fuzzy Syst 27:2927–2935MathSciNetCrossRef
Zurück zum Zitat Ye J (2014c) Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J Intell Fuzzy Syst 26:165–172MATHCrossRef Ye J (2014c) Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J Intell Fuzzy Syst 26:165–172MATHCrossRef
Zurück zum Zitat Ye J (2014d) Single valued neutrosophic cross-entropy for multicriteria decision making problems. Appl Math Model 38:1170–1175MathSciNetMATHCrossRef Ye J (2014d) Single valued neutrosophic cross-entropy for multicriteria decision making problems. Appl Math Model 38:1170–1175MathSciNetMATHCrossRef
Zurück zum Zitat Ye J (2014e) Single-valued neutrosophic minimum spanning tree and its clustering method. J Intell Syst 23:311–324 Ye J (2014e) Single-valued neutrosophic minimum spanning tree and its clustering method. J Intell Syst 23:311–324
Zurück zum Zitat Ye J (2014f) Some aggregation operators of interval neutrosophic linguistic numbers for multiple attribute decision making. J Intell Fuzzy Syst 27:2231–2241MathSciNetMATHCrossRef Ye J (2014f) Some aggregation operators of interval neutrosophic linguistic numbers for multiple attribute decision making. J Intell Fuzzy Syst 27:2231–2241MathSciNetMATHCrossRef
Zurück zum Zitat Ye J (2014g) Vector similarity measures of simplified neutrosophic sets and their application in multicriteria decision making. Int J Fuzzy Syst 16:204–211 Ye J (2014g) Vector similarity measures of simplified neutrosophic sets and their application in multicriteria decision making. Int J Fuzzy Syst 16:204–211
Zurück zum Zitat Ye J (2014h) A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J Intell Fuzzy Syst 26:2459–2466MathSciNetMATHCrossRef Ye J (2014h) A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J Intell Fuzzy Syst 26:2459–2466MathSciNetMATHCrossRef
Zurück zum Zitat Ye J (2014i) Clustering methods using distance-based similarity measures of single-valued neutrosophic sets. J Intell Syst 23:379–389 Ye J (2014i) Clustering methods using distance-based similarity measures of single-valued neutrosophic sets. J Intell Syst 23:379–389
Zurück zum Zitat Ye J (2015a) An extended TOPSIS method for multiple attribute group decision making based on single valued neutrosophic linguistic numbers. J Intell Fuzzy Syst 28:247–255MathSciNetCrossRef Ye J (2015a) An extended TOPSIS method for multiple attribute group decision making based on single valued neutrosophic linguistic numbers. J Intell Fuzzy Syst 28:247–255MathSciNetCrossRef
Zurück zum Zitat Ye J (2015b) Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses. Artif Intell Med 63:171–179CrossRef Ye J (2015b) Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses. Artif Intell Med 63:171–179CrossRef
Zurück zum Zitat Ye J (2015c) Multiple attribute decision-making method based on the possibility degree ranking method and ordered weighted aggregation operators of interval neutrosophic numbers. J Intell Fuzzy Syst 28:1307–1317MathSciNetCrossRef Ye J (2015c) Multiple attribute decision-making method based on the possibility degree ranking method and ordered weighted aggregation operators of interval neutrosophic numbers. J Intell Fuzzy Syst 28:1307–1317MathSciNetCrossRef
Zurück zum Zitat Ye J (2015d) Multiple-attribute decision-making method under a single-valued neutrosophic hesitant fuzzy environment. J Intell Syst 24:23–36 Ye J (2015d) Multiple-attribute decision-making method under a single-valued neutrosophic hesitant fuzzy environment. J Intell Syst 24:23–36
Zurück zum Zitat Ye J (2015e) Trapezoidal neutrosophic set and its application to multiple attribute decision-making. Neural Comput Appl 26:1157–1166CrossRef Ye J (2015e) Trapezoidal neutrosophic set and its application to multiple attribute decision-making. Neural Comput Appl 26:1157–1166CrossRef
Zurück zum Zitat Ye J (2016a) Correlation coefficients of interval neutrosophic hesitant fuzzy sets and its application in a multiple attribute decision making method. Informatica 27:179–202MATHCrossRef Ye J (2016a) Correlation coefficients of interval neutrosophic hesitant fuzzy sets and its application in a multiple attribute decision making method. Informatica 27:179–202MATHCrossRef
Zurück zum Zitat Ye J (2016b) Exponential operations and aggregation operators of interval neutrosophic sets and their decision making methods. SpringerPlus 5:1–18CrossRef Ye J (2016b) Exponential operations and aggregation operators of interval neutrosophic sets and their decision making methods. SpringerPlus 5:1–18CrossRef
Zurück zum Zitat Ye J (2016d) Fault diagnoses of steam turbine using the exponential similarity measure of neutrosophic numbers. J Intell Fuzzy Syst 30:1927–1934MATHCrossRef Ye J (2016d) Fault diagnoses of steam turbine using the exponential similarity measure of neutrosophic numbers. J Intell Fuzzy Syst 30:1927–1934MATHCrossRef
Zurück zum Zitat Ye J (2016e) Interval neutrosophic multiple attribute decision-making method with credibility information. Int J Fuzzy Syst 18:914–923CrossRef Ye J (2016e) Interval neutrosophic multiple attribute decision-making method with credibility information. Int J Fuzzy Syst 18:914–923CrossRef
Zurück zum Zitat Ye J (2016f) The generalized Dice measures for multiple attribute decision making under simplified neutrosophic environments. J Intell Fuzzy Syst 31:663–671MATHCrossRef Ye J (2016f) The generalized Dice measures for multiple attribute decision making under simplified neutrosophic environments. J Intell Fuzzy Syst 31:663–671MATHCrossRef
Zurück zum Zitat Ye J (2017a) Bidirectional projection method for multiple attribute group decision making with neutrosophic numbers. Neural Comput Appl 28:1021–1029CrossRef Ye J (2017a) Bidirectional projection method for multiple attribute group decision making with neutrosophic numbers. Neural Comput Appl 28:1021–1029CrossRef
Zurück zum Zitat Ye J (2017b) Correlation coefficient between dynamic single valued neutrosophic multisets and its multiple attribute decision-making method. Information 8:1–9 Ye J (2017b) Correlation coefficient between dynamic single valued neutrosophic multisets and its multiple attribute decision-making method. Information 8:1–9
Zurück zum Zitat Ye J (2017c) Multiple attribute decision-making method using correlation coefficients of normal neutrosophic sets. Symmetry 9:80CrossRef Ye J (2017c) Multiple attribute decision-making method using correlation coefficients of normal neutrosophic sets. Symmetry 9:80CrossRef
Zurück zum Zitat Ye J (2017d) Multiple attribute group decision making based on interval neutrosophic uncertain linguistic variables. Int J Mach Learn Cybern 8:837–848CrossRef Ye J (2017d) Multiple attribute group decision making based on interval neutrosophic uncertain linguistic variables. Int J Mach Learn Cybern 8:837–848CrossRef
Zurück zum Zitat Ye J (2017e) Projection and bidirectional projection measures of single-valued neutrosophic sets and their decision-making method for mechanical design schemes. J Exp Theor Artif Intell 29:731–741CrossRef Ye J (2017e) Projection and bidirectional projection measures of single-valued neutrosophic sets and their decision-making method for mechanical design schemes. J Exp Theor Artif Intell 29:731–741CrossRef
Zurück zum Zitat Ye J (2017f) Simplified neutrosophic harmonic averaging projection-based method for multiple attribute decision-making problems. Int J Mach Learn Cybern 8:981–987CrossRef Ye J (2017f) Simplified neutrosophic harmonic averaging projection-based method for multiple attribute decision-making problems. Int J Mach Learn Cybern 8:981–987CrossRef
Zurück zum Zitat Ye J (2017h) Single-valued neutrosophic similarity measures based on cotangent function and their application in the fault diagnosis of steam turbine. Soft Comput 21:817–825MATHCrossRef Ye J (2017h) Single-valued neutrosophic similarity measures based on cotangent function and their application in the fault diagnosis of steam turbine. Soft Comput 21:817–825MATHCrossRef
Zurück zum Zitat Ye J, Fu J (2016) Multi-period medical diagnosis method using a single valued neutrosophic similarity measure based on tangent function. Comput Methods Programs Biomed 123:142–149CrossRef Ye J, Fu J (2016) Multi-period medical diagnosis method using a single valued neutrosophic similarity measure based on tangent function. Comput Methods Programs Biomed 123:142–149CrossRef
Zurück zum Zitat Ye J, Smarandache F (2016) Similarity measure of refined single-valued neutrosophic sets and its multicriteria decision making method. Neutrosophic Sets Syst 12:41–44 Ye J, Smarandache F (2016) Similarity measure of refined single-valued neutrosophic sets and its multicriteria decision making method. Neutrosophic Sets Syst 12:41–44
Zurück zum Zitat Ye S, Ye J (2014) Dice similarity measure between single valued neutrosophic multisets and its application in medical diagnosis. Neutrosophic Sets Syst 6:48–53 Ye S, Ye J (2014) Dice similarity measure between single valued neutrosophic multisets and its application in medical diagnosis. Neutrosophic Sets Syst 6:48–53
Zurück zum Zitat Ye J, Zhang QS (2014) Single valued neutrosophic similarity measures for multiple attribute decision making. Neutrosophic Sets Syst 2:48–54 Ye J, Zhang QS (2014) Single valued neutrosophic similarity measures for multiple attribute decision making. Neutrosophic Sets Syst 2:48–54
Zurück zum Zitat Ye S, Fu J, Ye J (2015) Medical diagnosis using distance-based similarity measures of single valued neutrosophic multisets. Neutrosophic Sets Syst 7:47–52 Ye S, Fu J, Ye J (2015) Medical diagnosis using distance-based similarity measures of single valued neutrosophic multisets. Neutrosophic Sets Syst 7:47–52
Zurück zum Zitat Yu B, Niu Z, Wang L (2013) Mean shift based clustering of neutrosophic domain for unsupervised constructions detection. Opt Int J Light Electron Opt 124:4697–4706CrossRef Yu B, Niu Z, Wang L (2013) Mean shift based clustering of neutrosophic domain for unsupervised constructions detection. Opt Int J Light Electron Opt 124:4697–4706CrossRef
Zurück zum Zitat Zavadskas KE, Baušys R, Lazauskas M (2015) Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability 7:15923–15936CrossRef Zavadskas KE, Baušys R, Lazauskas M (2015) Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability 7:15923–15936CrossRef
Zurück zum Zitat Zavadskas KE, Baušys R, Stanujkic D, Magdalinovic-Kalinovic M (2016) Selection of lead–zinc flotation circuit design by applying WASPAS method with single-valued neutrosophic set. Acta Montan Slovaca 21:85–92 Zavadskas KE, Baušys R, Stanujkic D, Magdalinovic-Kalinovic M (2016) Selection of lead–zinc flotation circuit design by applying WASPAS method with single-valued neutrosophic set. Acta Montan Slovaca 21:85–92
Zurück zum Zitat Zavadskas EK, Bausys R, Kaklauskas A, Ubarte I, Kuzminske A, Gudiene N (2017) Sustainable market valuation of buildings by the single-valued neutrosophic MAMVA method. Appl Soft Comput 57:74–87CrossRef Zavadskas EK, Bausys R, Kaklauskas A, Ubarte I, Kuzminske A, Gudiene N (2017) Sustainable market valuation of buildings by the single-valued neutrosophic MAMVA method. Appl Soft Comput 57:74–87CrossRef
Zurück zum Zitat Zhan JM, Khan M, Gulistan M, Ali A (2017) Applications of neutrosophic cubic sets in multi-criteria decision making. Int J Uncertain Quantif 7:337–394CrossRef Zhan JM, Khan M, Gulistan M, Ali A (2017) Applications of neutrosophic cubic sets in multi-criteria decision making. Int J Uncertain Quantif 7:337–394CrossRef
Zurück zum Zitat Zhang ZM, Wu C (2014) A novel method for single-valued neutrosophic multi-criteria decision making with incomplete weight information. Neutrosophic Sets Syst 4:35–49 Zhang ZM, Wu C (2014) A novel method for single-valued neutrosophic multi-criteria decision making with incomplete weight information. Neutrosophic Sets Syst 4:35–49
Zurück zum Zitat Zhang M, Zhang L, Cheng H-D (2010a) Segmentation of ultrasound breast images based on a neutrosophic method. Opt Eng 49:117001CrossRef Zhang M, Zhang L, Cheng H-D (2010a) Segmentation of ultrasound breast images based on a neutrosophic method. Opt Eng 49:117001CrossRef
Zurück zum Zitat Zhang M, Zhang L, Cheng HD (2010b) A neutrosophic approach to image segmentation based on watershed method. Signal Process 90:1510–1517MATHCrossRef Zhang M, Zhang L, Cheng HD (2010b) A neutrosophic approach to image segmentation based on watershed method. Signal Process 90:1510–1517MATHCrossRef
Zurück zum Zitat Zhang H, Wang JQ, Chen XH (2014) Interval neutrosophic sets and their application in multicriteria decision making problems. Sci World J 2014:1–15 Zhang H, Wang JQ, Chen XH (2014) Interval neutrosophic sets and their application in multicriteria decision making problems. Sci World J 2014:1–15
Zurück zum Zitat Zhang HY, Ji P, Wang JQ, Chen XH (2015) An improved weighted correlation coefficient based on integrated weight for interval neutrosophic sets and its application in multi-criteria decision-making problems. Int J Comput Intell Syst 8:1027–1043CrossRef Zhang HY, Ji P, Wang JQ, Chen XH (2015) An improved weighted correlation coefficient based on integrated weight for interval neutrosophic sets and its application in multi-criteria decision-making problems. Int J Comput Intell Syst 8:1027–1043CrossRef
Zurück zum Zitat Zhang M, Liu P, Shi L (2016a) An extended multiple attribute group decision-making TODIM method based on the neutrosophic numbers. J Intell Fuzzy Syst 30:1773–1781MATHCrossRef Zhang M, Liu P, Shi L (2016a) An extended multiple attribute group decision-making TODIM method based on the neutrosophic numbers. J Intell Fuzzy Syst 30:1773–1781MATHCrossRef
Zurück zum Zitat Zhang C, Zhai Y, Li D, Mu YM (2016b) Steam turbine fault diagnosis based on single-valued neutrosophic multigranulation rough sets over two universes. J Intell Fuzzy Syst 31:2829–2837MATHCrossRef Zhang C, Zhai Y, Li D, Mu YM (2016b) Steam turbine fault diagnosis based on single-valued neutrosophic multigranulation rough sets over two universes. J Intell Fuzzy Syst 31:2829–2837MATHCrossRef
Zurück zum Zitat Zhang HY, Wang JQ, Chen XH (2016c) An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Comput Appl 27:615–627CrossRef Zhang HY, Wang JQ, Chen XH (2016c) An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Comput Appl 27:615–627CrossRef
Zurück zum Zitat Zhang HY, Ji P, Wang JQ, Chen XH (2016d) A neutrosophic normal cloud and its application in decision-making. Cogn Comput 8:649–669CrossRef Zhang HY, Ji P, Wang JQ, Chen XH (2016d) A neutrosophic normal cloud and its application in decision-making. Cogn Comput 8:649–669CrossRef
Zurück zum Zitat Zhao AW, Guan HJ (2015) Neutrosophic valued linguistic soft sets and multi-attribute decision-making application. J Comput Theor Nanosci 12:6162–6171CrossRef Zhao AW, Guan HJ (2015) Neutrosophic valued linguistic soft sets and multi-attribute decision-making application. J Comput Theor Nanosci 12:6162–6171CrossRef
Zurück zum Zitat Zhao AW, Du JG, Guan HJ (2015) Interval valued neutrosophic sets and multi-attribute decision-making based on generalized weighted aggregation operator. J Intell Fuzzy Syst 29:2697–2706MATHCrossRef Zhao AW, Du JG, Guan HJ (2015) Interval valued neutrosophic sets and multi-attribute decision-making based on generalized weighted aggregation operator. J Intell Fuzzy Syst 29:2697–2706MATHCrossRef
Zurück zum Zitat Zhao JH, Wang X, Zhang HM, Hu J, Jian XM (2016) Side scan sonar image segmentation based on neutrosophic set and quantum-behaved particle swarm optimization algorithm. Mar Geo Res 37:229–241CrossRef Zhao JH, Wang X, Zhang HM, Hu J, Jian XM (2016) Side scan sonar image segmentation based on neutrosophic set and quantum-behaved particle swarm optimization algorithm. Mar Geo Res 37:229–241CrossRef
Zurück zum Zitat Zheng EZ, Teng F, Liu PD (2017) Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator. Neural Comput Appl 28:2063–2074CrossRef Zheng EZ, Teng F, Liu PD (2017) Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator. Neural Comput Appl 28:2063–2074CrossRef
Metadaten
Titel
A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017
verfasst von
Xindong Peng
Jingguo Dai
Publikationsdatum
18.08.2018
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 1/2020
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-018-9652-0

Weitere Artikel der Ausgabe 1/2020

Artificial Intelligence Review 1/2020 Zur Ausgabe