Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 3/2018

04.06.2016 | Original Article

Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment

verfasst von: Zhang-peng Tian, Jing Wang, Hong-yu Zhang, Jian-qiang Wang

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 3/2018

Einloggen

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

search-config
loading …

Abstract

A simplified neutrosophic uncertain linguistic set that integrates quantitative and qualitative evaluation can serve as an extension of both an uncertain linguistic variable and a simplified neutrosophic set. It can describe the real preferences of decision-makers and reflect their uncertainty, incompleteness and inconsistency. This paper focuses on multi-criteria decision-making (MCDM) problems in which the criteria occupy different priority levels and the criteria values take the form of simplified neutrosophic uncertain linguistic elements. Having reviewed the relevant literatures, this paper develops some generalized simplified neutrosophic uncertain linguistic prioritized weighted aggregation operators and applies them to solve MCDM problems. Finally, an illustrative example is given, and two cases of comparison analysis are conducted with other representative methods to demonstrate the effectiveness and feasibility of the developed approach.
Vorheriger Artikel Pooled shrinkage estimator for quadratic discriminant classifier: an analysis for small sample sizes in face recognition
Nächster Artikel Inclined planes system optimization algorithm for IIR system identification

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Weitere Produktempfehlungen anzeigen
Literatur
1.
2.
Mardani A, Jusoh A, Zavadskas EK (2015) Fuzzy multiple criteria decision-making techniques and applications—two decades review from 1994 to 2014. Expert Syst Appl 42(8):4126–4148CrossRef
3.
Wang XZ, Xing HJ, Li Y, Hua Q, Dong CR, Pedrycz W (2015) A study on relationship between generalization abilities and fuzziness of base classifiers in ensemble learning. IEEE Trans Fuzzy Syst 23(5):1638–1654CrossRef
4.
Wang XZ, Ashfaq RAR, Fu AM (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Syst 29(3):1185–1196MathSciNetCrossRef
5.
Wang XZ (2015) Uncertainty in learning from big data-editorial. J Intell Fuzzy Syst 28(5):2329–2330CrossRef
6.
7.
8.
9.
10.
11.
Chen SM, Cheng SH, Chiou CH (2016) Fuzzy multiattribute group decision making based on intuitionistic fuzzy sets and evidential reasoning methodology. Inf Fusion 27:215–227CrossRef
12.
Martínez L, Ruan D, Herrera F, Herrera-Viedma E, Wang PP (2009) Linguistic decision making: tools and applications. Inf Sci 179(14):2297–2298CrossRef
13.
Liu PD, Wang YM (2014) Multiple attribute group decision making methods based on intuitionistic linguistic power generalized aggregation operators. Appl Soft Comput 17:90–104CrossRef
14.
Tian ZP, Wang J, Wang JQ, Chen XH (2015) Multi-criteria decision-making approach based on gray linguistic weighted Bonferroni mean operator. Int Trans Oper Res. doi:10.​1111/​itor.​12220
15.
Zhou H, Wang JQ, Zhang HY, Chen XH (2016) Linguistic hesitant fuzzy multi-criteria decision-making method based on evidential reasoning. Int J Syst Sci 47(2):314–327MathSciNetCrossRefMATH
16.
Tian ZP, Wang J, Wang JQ, Zhang HY (2016) A likelihood-based qualitative flexible approach with hesitant fuzzy linguistic information. Cogn Comput. doi:10.​1007/​s12559-016-9400-1
17.
Chen TY, Chang CH, Lu JFR (2013) The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making. Eur J Oper Res 226(3):615–625MathSciNetCrossRefMATH
18.
Wang J, Wang JQ, Zhang HY, Chen XH (2016) Multi-criteria group decision making approach based on 2-tuple linguistic aggregation operators with multi-hesitant fuzzy linguistic information. Int J Fuzzy Syst 18(1):81–97MathSciNetCrossRef
19.
Rodríguez RM, Martínez L (2013) An analysis of symbolic linguistic computing models in decision making. Int J Gen Syst 42(1):121–136MathSciNetCrossRefMATH
20.
Xu ZS (2006) Induced uncertain linguistic OWA operators applied to group decision making. Inf Fusion 7:231–238CrossRef
21.
Xu ZS (2009) An interactive approach to multiple attribute group decision making with multigranular uncertain linguistic information. Group Decis Negot 18(2):119–145CrossRef
22.
Liu PD (2013) Some geometric aggregation operators based on interval intuitionistic uncertain linguistic variables and their application to group decision making. Appl Math Model 37(4):2430–2444MathSciNetCrossRefMATH
23.
Li QX, Zhao XF, Wei GW (2014) Model for software quality evaluation with hesitant fuzzy uncertain linguistic information. J Intell Fuzzy Syst 26(6):2639–2647MathSciNetMATH
24.
Smarandache F (1999) A unifying field in logics. Neutrosophy: neutrosophic probability, set and logic. American Research Press, RehobothMATH
25.
Wang HB, Smarandache F, Zhang YQ, Sunderraman R (2010) Single valued neutrosophic sets. Multispace Multistruct 4:410–413MATH
26.
Wang HB, Smarandache F, Zhang YQ, Sunderraman R (2005) Interval neutrosophic sets and logic: theory and applications in computing. Hexis, PhoenixMATH
27.
Broumi S, Deli I, Smarandache F (2015) N-valued interval neutrosophic sets and their application in medical diagnosis. Crit Rev Center Math Uncertain Creighton Univ USA 10:46–69
28.
Smarandache F (2013) N-valued refined neutrosophic logic and its applications in physics. Progr Phys 4:143–146
29.
Broumi S, Smarandache F, Maji PK (2014) Intuitionistic neutrosphic soft set over rings. Math Stat 2(3):120–126
30.
31.
Deli I, Broumi S (2015) Neutrosophic soft matrices and NSM-decision making. J Intell Fuzzy Syst 28(5):2233–2241MathSciNetCrossRef
32.
33.
34.
35.
Broumi S, Talea M, Bakali A, Smarandache F (2016) Single valued neutrosophic graphs. J N Theory 10:86–101
36.
Broumi S, Talea M, Bakali A, Smarandache F (2016) On bipolar single valued neutrosophic graphs. J N Theory 11:84–102
37.
Broumi S, Smarandache F, Talea M, Bakali A (2016) An introduction to bipolar single valued neutrosophic graph theory. Appl Mech Mater 841:184–191CrossRef
38.
Broumi S, Talea M, Bakali A, Smarandache F (2016) Interval valued neutrosophic graphs. SISOM Conference
39.
Broumi S, Talea M, Smarandache F, Bakali A (2016) Single valued neutrosophic graphs: degree, order and size. FUZZ IEEE Conference, p 8
40.
Liu PD, Chu YC, Li YW, Chen YB (2014) Some generalized neutrosophic number Hamacher aggregation operators and their application to group decision making. Int J Fuzzy Syst 16(2):242–255
41.
Şahin R, Liu PD (2015) Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information. Neural Comput Appl. doi:10.​1007/​s00521-015-1995-8
42.
Peng JJ, Wang JQ, Wang J, Zhang HY, Chen XH (2016) Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int J Syst Sci 47(10):2342–2358CrossRefMATH
43.
Broumi S, Smarandache F (2014) Correlation coefficient of interval neutrosophic set. Appl Mech Mater 436:511–517CrossRef
44.
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(6):1027–1043CrossRef
45.
Şahin R, Liu PD (2016) Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making. Neural Comput Appl. doi:10.​1007/​s00521-015-2163-x
46.
Broumi S, Deli I (2016) Correlation measure for neutrosophic refined sets and its application in medical diagnosis. Palestine J Math 5(1):135–143MathSciNetMATH
47.
Majumdar P, Samant SK (2014) On similarity and entropy of neutrosophic sets. J Intell Fuzzy Syst 26(3):1245–1252MathSciNetMATH
48.
49.
50.
Wu XH, 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. doi:10.​1007/​s40815-016-0180-2
51.
Ye J (2015) Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses. Artif Intell Med 63(3):171–179CrossRef
52.
Şahin R, Küçük A (2015) Subsethood measure for single valued neutrosophic sets. J Intell Fuzzy Syst 29(2):525–530CrossRefMATH
53.
Peng JJ, Wang JQ, Zhang HY, Chen XH (2014) An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets. Appl Soft Comput 25:336–346CrossRef
54.
Zhang HY, Wang JQ, Chen XH (2016) An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Comput Appl 27(3):615–627CrossRef
55.
56.
Ye J (2015) An extended TOPSIS method for multiple attribute group decision making based on single valued neutrosophic linguistic numbers. J Intell Fuzzy Syst 28(1):247–255MathSciNet
57.
Ye J (2014) Some aggregation operators of interval neutrosophic linguistic numbers for multiple attribute decision making. J Intell Fuzzy Syst 27(5):2231–2241MathSciNetMATH
58.
Ma YX, Wang JQ, Jing Wang WuXH (2016) An interval neutrosophic linguistic multi-criteria group decision-making method and its application in selecting medical treatment options. Neural Comput Appl. doi:10.​1007/​s00521-016-2203-1
59.
60.
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 8:23–32
61.
Broumi S, Smarandache F (2015) Single valued neutrosophic trapezoid linguistic aggregation operators based multi-attribute decision making. Bull Pure Appl Sci Math Stat 33(2):135–155
62.
63.
Herrera F, Herrera-Viedma E, Verdegay JL (1996) A model of consensus in group decision-making under linguistic assessments. Fuzzy Sets Syst 79(1):73–87MathSciNetCrossRefMATH
64.
Herrera F, Herrera-Viedma E (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst 115(1):67–82MathSciNetCrossRefMATH
65.
Xu ZS (2006) A note on linguistic hybrid arithmetic averaging operator in multiple attribute decision-making with linguistic information. Group Decis Negot 15(6):593–604CrossRef
66.
Bao GY, Lian XL, He M, Wang LL (2010) Improved two-tuple linguistic representation model based on new linguistic evaluation scale. Control Decis 25(5):780–784MathSciNet
67.
Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263–291CrossRefMATH
68.
Ye J (2014) A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J Intell Fuzzy Syst 26(5):2459–2466MathSciNetMATH
69.
Tian ZP, Wang J, Wang JQ, Zhang HY (2016) Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decis Negot. doi:10.​1007/​s10726-016-9479-5
70.
71.
Zhou H, Wang JQ, Zhang HY (2016) Multi-criteria decision-making approaches based on distance measures for linguistic hesitant fuzzy sets. J Oper Res Soc. doi:10.​1057/​jors.​2016.​41
Metadaten
Titel
Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment
verfasst von
Zhang-peng Tian
Jing Wang
Hong-yu Zhang
Jian-qiang Wang
Publikationsdatum
04.06.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 3/2018
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-016-0552-9

Weitere Artikel der Ausgabe 3/2018

International Journal of Machine Learning and Cybernetics 3/2018 Zur Ausgabe

Original Article

Investigating the impact human protein–protein interaction networks have on disease-gene analysis

Original Article

A comparative study for biomedical named entity recognition

Editorial

Special issue on semantic data analytics and bioinformatics

Original Article

Inclined planes system optimization algorithm for IIR system identification

Original Article

Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme

Original Article

Predicting protein–protein interaction sites using modified support vector machine

Neuer Inhalt

    Bildnachweise