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
Erschienen in:
The Emergence of Fuzzy Sets: A Historical Perspective Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Fuzzy Decision Making: Its Pioneers and Supportive Environment

verfasst von : Cengiz Kahraman, Sezi Çevik Onar, Başar Öztayşi

Erschienen in: Fuzzy Logic in Its 50th Year

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

Fuzzy decision making is the collection of single or multicriteria techniques aiming at selecting the best alternative in case of imprecise, incomplete, and vague data. This chapter reviews the fuzzy decision making literature and summarizes the review results by tabular and graphical illustrations. The classification is based on the new extensions of fuzzy sets: Intuitionistic, hesitant, and type-2 fuzzy sets. Later, the media publishing fuzzy decision making papers, journals, books, conferences, and societies are summarized. Finally, fuzzy decision making examples are given for ordinary, intuitionistic, hesitant, and type-2 fuzzy sets.

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
Vorheriges Kapitel The Emergence of Fuzzy Sets: A Historical Perspective
Nächstes Kapitel Mathematics of Intuitionistic Fuzzy Sets
Literatur
1.
Aliev, R.A., Huseynov, O.R.: Decision Theory with Imperfect Information. World Scientific (2014)
2.
Ashtiani, B., Haghighirad, F., Makui, A., Montazer, G.A.: Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Appl. Soft Comput. J. 9(2), 457–461 (2009)CrossRef
3.
4.
Baas, S.M., Kwakernaak, H.: Rating and ranking of multiple aspect alternatives using fuzzy sets. Automatica 13(1), 47–58 (1977)MathSciNetCrossRefMATH
5.
Baker, D., Bridges, D., Hunter, R., Johnson, G., Krupa, J., Murphy, J., Sorenson, K.: Guidebook to Decision-Making Methods, WSRC-IM-2002-00002. Department of Energy, USA (2002)
6.
Bellman, R.E., Zadeh, L.A.: Decision Making is a Fuzzy Environment, managmenet. Science 17(4), 141–164 (1970)MathSciNet
7.
8.
Bustince, H., Herrera, F., Montero, J.: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Springer, Berlin (2008)CrossRefMATH
9.
Carlsson, C., Fullér, R.: Fuzzy Reasoning in Decision Making and Optimization. Physica-Verlag, Heidelberg (2002)
10.
Onar, S.C., Oztaysi, B., Otay, I., Kahraman, C.: Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy 90(1), 274–285 (2015)CrossRef
11.
Chang, D.-Y.: Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95(3), 649–655 (1996)CrossRefMATH
12.
Chen, S.M., Lee, L.W.: Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst. Appl. 37, 2790–2798 (2010)CrossRef
13.
Chen, C.-T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114, 1–9 (2000)CrossRefMATH
14.
Chen, S.J., Hwang, C.L.: Fuzzy multiple attribute decision-making, methods and applications. Lecture Notes in Economics and Mathematical Systems, p 375. Springer, Heidelberg (19920
15.
Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. AcademicPress, New York (1980)MATH
16.
17.
Kacprzyk, J., Fedrizzi, M.: Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. Springer (1988)
18.
Kacprzyk, J., Fedrizzi, M.: Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory. Springer, Netherlands (1990)CrossRefMATH
19.
Kahraman, C., Öztayşi, B., Uçal, Sarı I., Turanoğlu, E.: Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl. Based Syst. 59, 48–57 (2014)CrossRef
20.
Kahraman, C., Ruan, D., Doğan, I.: Fuzzy group decision-making for facility location selection. Inf. Sci. 157, 135–153 (2003)CrossRefMATH
21.
Kahraman, C.: Fuzzy Multi-Criteria Decision Making Theory and Applications wit Recent Developments. Springer Optimization and Its Applications, vol. 16 (2008)
22.
Lai Y.J., Hwang C.L.: Fuzzy Multiple objective decision making: methods and applications. Lecture Notes in Economics and Mathematical Systems, vol. 404. Springer, Berlin Heidelberg (1994)
23.
Lee, E.S., Shih, H.S.: Fuzzy and Multi-Level Decision Making: An Interactive Computational Approach. Springer (2001)
24.
Li H., Yen V.C.: Fuzzy Sets and Fuzzy Decision-Making. CRC Press (1995)
25.
Loostma, F.A.: Fuzzy Logic for Planning and Decision Making. Springer, Dordrecht (1997)
26.
Lu, J., Zhang, G., Ruan, D., Wu, F.: Multi-Objective Group Decision Making Methods, Software and Applications with Fuzzy Set Techniques. Imperial College Press, London (2007)CrossRefMATH
27.
Mendel, J.M.: Interval type-2 fuzzy logic systems made simple. IEEE Trans. Fuzzy Syst. 14(6), 808–821 (2006)CrossRef
28.
Opricovic, S.: Fuzzy VIKOR with an application to water resources planning. Expert Syst. Appl. 38, 12983–12990 (2011)CrossRef
29.
Pedrycz, W., Ekel, P., Parreiras, R.: Fuzzy Multicriteria Decision-Making: Models, Methods and Applications. Wiley (2011)
30.
Rao, R.V.: Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, vol. 2. Springer Series in Advanced Manufacturing (2013)
31.
Ribeiro, R.A.: Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy Sets Syst. 78(2), 155–181 (1996)MathSciNetCrossRefMATH
32.
Slowinski, R.: Fuzzy sets in decision analysis, operation research and statistics. Kluwer Academic Publishers, Boston (1998)CrossRefMATH
33.
Sousa, J.M.C., Kaymak, U.: Fuzzy Decision Making in Modeling and Control, World Scientific Series in Robotics and Intelligent Systems, vol. 27 (2002)
34.
Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529–539 (2010)MATH
35.
Tseng, M.L., Lin, Y.H., Chiu, A.S., Chen, C.Y.: Fuzzy AHP-approach to TQM strategy evaluation. Ind. Eng. Manage. Syst. Int. J. 7(1), 34–43 (2008)
36.
Tzeng, G.H., Huang J.J.: Fuzzy Multiple Objective Decision Making. Chapman and Hall/CRC (2013)
37.
Van Laarhoven, P.J.M., Pedrycz, W.: A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst. 11(1–3), 199–227 (1983)MATH
38.
Xu, J., Zhou, X.: Fuzzy-Like Multiple Objective Decision Making, Studies in Fuzziness and Soft Computing, vol. 263. Springer, Heidelberg (2011)
39.
Xu, Z., Cai, X.: Intuitionistic Fuzzy Information Aggregation: Theory and Applications, Intuitionistic Fuzzy Information Aggregation: Theory and Applications, pp. 1–309 (2013)
40.
Yager, R.R.: Fuzzy decision making using unequal objectives. Fuzzy Sets Syst. 1, 87–95 (1978)CrossRefMATH
41.
Yavuz, M., Oztaysi, B., Cevik, Onar S., Kahraman, C.: Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model. Expert Syst. Appl. 42(5), 2835–2848 (2015)CrossRef
42.
Yazici, I., Kahraman, C.: VIKOR method using interval type two fuzzy sets. J. Intell. Fuzzy Syst. 29(1), 411–422 (2015)MathSciNetCrossRef
43.
Yoshida, Y.: Dynamical Aspects in Fuzzy Decision Making, Studies in Fuzziness and Soft Computing, vol. 73. Physica-Verlag, Heidelberg (2001)
44.
45.
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning–1. Inf. Sci. 8, 199–249 (1975)MathSciNetCrossRefMATH
46.
Xu, Z., Zhang, X.: Hesitant Fuzzy Multi-Attribute Decision Making Based on TOPSIS with Incomplete Weight Information, Knowledge-Based Systems, vol. 52, pp. 53–64, Nov 2013
47.
Zimmermann, H.J.: Fuzzy Sets, Decision Making, and Expert Systems. Springer, Netherlands (1987)CrossRef
48.
Zimmermann, H.J.: Fuzzy Sets, Decision Making, and Expert Systems. Kluwer, Boston (1987)CrossRef
Metadaten
Titel
Fuzzy Decision Making: Its Pioneers and Supportive Environment
verfasst von
Cengiz Kahraman
Sezi Çevik Onar
Başar Öztayşi
Copyright-Jahr
2016
Buch
Fuzzy Logic in Its 50th Year

Print ISBN: 978-3-319-31091-6

Electronic ISBN: 978-3-319-31093-0

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-31093-0_2