nach oben

International Journal of Machine Learning and Cybernetics

Erschienen in:

27.11.2015 | Original Article

Interval-valued neutrosophic soft sets and its decision making

verfasst von: Irfan Deli

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 2/2017

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

In this paper, the notion of the interval valued neutrosophic soft set (ivn-soft sets) is defined which is a combination of an interval valued neutrosophic set [35] and a soft set [29]. Our ivn-soft sets generalizes the concept of the soft set, fuzzy soft set, interval valued fuzzy soft set, intuitionistic fuzzy soft set, interval valued intuitionistic fuzzy soft set and neutrosophic soft set. Then, we introduce some definitions and operations on ivn-soft sets sets. Some properties of ivn-soft sets which are connected to operations have been established. Also, the aim of this paper is to investigate the decision making based on ivn-soft sets by level soft sets. Therefore, we develop a decision making methods and then give a example to illustrate the developed approach.

Vorheriger Artikel Grey stochastic multi-criteria decision-making based on regret theory and TOPSIS

Nächster Artikel Content based approach to find the credibility of user in social networks: an application of cyberbullying

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

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information.

Order your 30-days-trial for free and without any commitment.

Jetzt informieren

ATZelektronik

Die Fachzeitschrift ATZelektronik bietet für Entwickler und Entscheider in der Automobil- und Zulieferindustrie qualitativ hochwertige und fundierte Informationen aus dem gesamten Spektrum der Pkw- und Nutzfahrzeug-Elektronik.

Lassen Sie sich jetzt unverbindlich 2 kostenlose Ausgabe zusenden.

Jetzt informieren

Acar U, Koyuncu F, Tanay B (2010) Soft sets and soft rings. Comput Math Appl 59:3458–3463MathSciNetCrossRefMATH

Aktaş H, Çağman N (2007) Soft sets and soft groups. Inf Sci 177:2726–2735MathSciNetCrossRefMATH

Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96MathSciNetCrossRefMATH

Awang MI, Rose ANM, Herawan T, Deris MM (2010) Soft set approach for selecting decision attribute in data clustering. In: Advanced data mining and applications lecture notes in computer science, vol 6441, pp 87–98

Aygünoglu A, Aygün H (2009) Introduction to fuzzy soft groups. Comput Math Appl 58:1279–1286MathSciNetCrossRefMATH

Broumi S (2013) Generalized neutrosophic soft set. Int J Comput Sci Eng Inf Technol (IJCSEIT) 3/2. doi:10.5121/ijcseit.2013.3202

Broumi S, Smarandache F (2013) Intuitionistic neutrosophic soft set. J Inf Comput Sci 8(2):130–140

Çağman, Karataş S, Enginoğlu S (2011) Soft topology. Comput Math Appl 62:351–358

Çağman N, Erdoğan F, Enginoğlu S (2011) FP-soft set theory and its applications. Ann Fuzzy Math Inf 2(2):219–226MathSciNetMATH

10.

Çağman N, Enginoğlu S (2010) Soft set theory and uni–int decision making. Eur J Oper Res 207:848–855MathSciNetCrossRefMATH

11.

Çağman N, Deli I (2012) Means of FP-soft sets and its applications. Hacet J Math Stat 41(5):615–625MathSciNetMATH

12.

Çağman N, Erdoğan F, Enginoğlu S (2011) FP-soft set theory and its applications. Ann Fuzzy Math Inf 2(2):219–226MathSciNetMATH

13.

Çağman N, Enginoğlu S (2010) Soft set theory and uni–int decision making. Eur J Oper Res 207:848–855MathSciNetCrossRefMATH

14.

Çağman N, Deli II (2013) Soft games. http://arxiv.org/abs/1302.4568

15.

Feng F, Li C, Davvaz B, Irfan Ali M (2010) Soft sets combined with fuzzy sets and rough sets: a tentative approach. Soft Comput 14:899–911CrossRefMATH

16.

Feng F, Jun YB, Liu X, Li L (2010) An adjustable approach to fuzzy soft sets based decision making. J Comput Appl Math 234:10–20MathSciNetCrossRefMATH

17.

Jiang Y, Tang Y, Chen Q, Liu H, Tang J (2010) Interval-valued intuitionistic fuzzy soft sets and their properties. Comput Math Appl 60:906–918MathSciNetCrossRefMATH

18.

Jiang Y, Tang Y, Chen Q (2011) An adjustable approach to intuitionistic fuzzy soft sets based decision making. Appl Math Model 35:824–836MathSciNetCrossRefMATH

19.

Karaaslan F, Çağman N, Enginoğlu S (2012) Soft lattices. J New Results Sci 1:5–17

20.

Kharal A (2010) Distance and similarity measures for soft sets. New Math Nat Comput 06:321. doi:10.1142/S1793005710001724 MathSciNetCrossRefMATH

21.

Kovkov DV, Kolbanov VM, Molodtsov DA (2007) Soft sets theory-based optimization. J Comput Syst Sci Int 46(6):872–880MathSciNetCrossRefMATH

22.

Maji PK, Biswas R, Roy AR (2001) Fuzzy soft sets. J Fuzzy Math 9(3):589–602MathSciNetMATH

23.

Maji PK, Roy AR, Biswas R (2004) On intuitionistic fuzzy soft sets. J Fuzzy Math 12(3):669–683MathSciNetMATH

24.

Maji PK (2012) A neutrosophic soft set approach to a decision making problem. Ann Fuzzy Math Inf 3(2):313–319MathSciNetMATH

25.

Maji PK (2013) Neutrosophic soft set. Comput Math Appl 45:555–562CrossRefMATH

26.

Maji PK, Roy AR (2002) An application of soft sets in a decision making problem. Comput Math Appl 44:1077–1083MathSciNetCrossRefMATH

27.

Mamat R, Herawan T, Deris MM (2013) MAR: maximum attribute relative of soft set for clustering attribute selection. Knowl Based Syst 52:11–20CrossRef

28.

Min WK (2011) A note on soft topological spaces. Comput Math Appl 62:3524–3528MathSciNetCrossRefMATH

29.

Molodtsov DA (1999) Soft set theory-first results. Comput Math Appl 37:19–31MathSciNetCrossRefMATH

30.

Molodtsov DA (2004) The theory of soft sets (in Russian). URSS Publishers, Moscow

31.

Nagarajan EKR, Meenambigai G (2011) An application of soft sets to lattices. Kragujev J Math 35(1):75–87MathSciNetMATH

32.

Pawlak Z (1982) Rough sets. Int J Inf Comput Sci 11:341–356CrossRefMATH

33.

Smarandache F (2005) Neutrosophic set, a generalisation of the intuitionistic fuzzy sets. Int J Pure Appl Math 24:287–297MathSciNetMATH

34.

Shabir M, Naz M (2011) On soft topological spaces. Comput Math Appl 61:1786–1799MathSciNetCrossRefMATH

35.

Wang H, Smarandache F, Zhang YQ, Sunderraman R (2005) Interval Neutrosophic Sets and Logic: Theory and Applications in Computing. In: Neutrosophic book series, vol 5. Hexis, Arizona

36.

Wang H, Smarandache F, Zhang YQ, Sunderraman R (2010) Single valued neutrosophic sets. Multispace Multistructure 4:410–413MATH

37.

Şerife Yılmaz, Kazancı O (2013) Soft lattices(ideals, filters) related to fuzzy point. In: U.P.B. Scientific Bulletin, Series A, 75/ 3, pp 75–90

38.

Yüksel S, Dizman T, Yildizdan G, Sert U (2013) Application of soft sets to diagnose the prostate cancer risk. J Inequal Appl. doi:10.1186/1029-242X-2013-229

39.

Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353CrossRefMATH

40.

Zhang Z, Wang C, Tian D, Li K (2014) A novel approach to interval-valued intuitionistic fuzzy soft set based decision making. Appl Math Model 38:1255–1270MathSciNetCrossRef

41.

Zhan J, Jun YB (2010) Soft BL-algebras based on fuzzy sets. Comput Math Appl 59:2037–2046MathSciNetCrossRefMATH

Titel: Interval-valued neutrosophic soft sets and its decision making
verfasst von: Irfan Deli
Publikationsdatum: 27.11.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Machine Learning and Cybernetics / Ausgabe 2/2017
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI: https://doi.org/10.1007/s13042-015-0461-3

Neuer Inhalt

Bildnachweise

VDI-Icon, Profil Icon, inhalt2, Springer Professional Modul/© Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence_ieS/© Springer Fachmedien Wiesbaden GmbH, Search Icon, Banner Hanser, Bunte Männchen, die Kunden darstelle, werden von einem riesigen Magneten angezogen. /© Oleksiy Mark, Dr. Daniel Schneider/© Fraunhofer IESE, Interview Level Ten PPA Bild/© LevelTen, Zeitschrift Wissensmanagement Cover, PatentFit-Logo/© Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence 2024/© AndreyPopov / Getty Images / iStock, 2023_Antrieb/© supervisuell, ATZ-Webinar: Prototypenfreie Entwicklung durch Offline- und Driver-in-the-Loop-HiL-Tests /© (c) VI-grade

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

ATZelectronics worldwide

ATZelektronik

Weitere Artikel der Ausgabe 2/2017

Robust stability and filter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay

Content based approach to find the credibility of user in social networks: an application of cyberbullying

A hybrid artificial bee colony algorithm for the cooperative maximum covering location problem

Multi-criteria group decision making method based on generalized intuitionistic trapezoidal fuzzy prioritized aggregation operators

Online UAV path planning in uncertain and hostile environments

Representative points clustering algorithm based on density factor and relevant degree

Neuer Inhalt

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.