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Comparative state-of-the-art survey of classical fuzzy set and intuitionistic fuzzy sets in multi-criteria decision making

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dc.title Comparative state-of-the-art survey of classical fuzzy set and intuitionistic fuzzy sets in multi-criteria decision making en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Prieto, Luis Antonio Beltran
dc.relation.ispartof International Journal of Fuzzy Systems
dc.identifier.issn 1562-2479 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 19
utb.relation.issue 3
dc.citation.spage 726
dc.citation.epage 738
dc.type article
dc.language.iso en
dc.publisher Springer
dc.identifier.doi 10.1007/s40815-016-0204-y
dc.relation.uri https://link.springer.com/article/10.1007/s40815-016-0204-y
dc.subject Classical fuzzy set en
dc.subject Fuzzy generalization en
dc.subject Intuitionistic fuzzy sets en
dc.subject Multi-criteria decision making en
dc.subject State of the art survey en
dc.description.abstract Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with uncertainty and imprecision in decision making. Over the years, many generalizations have been proposed to the classical Fuzzy sets to deal with different kinds of imprecise and subjective data. One such generalization is Atanassov’s Intuitionistic Fuzzy Set (IFS) which is becoming increasingly popular in MCDM research. Together, the two notions of uncertainty modeling: ‘classical fuzzy set’ (Zadeh) and intuitionistic fuzzy set (Atanassov) have been utilized in many real-world MCDM applications spanning diverse disciplines. As IFS grows in popularity by the day, this paper conducts a literature survey to (1) compare the trend of publications of ‘classical fuzzy’ set theory and its generalized form, the intuitionistic fuzzy set (IFS) as used in MCDM methods from 2000 to 2015; (2) classify their contributions into three novel tracks of applications, hybrid, and extended approaches; (3) determine which MCDM method is the most used together with the two forms of fuzzy modeling; and (4) report on other measures such as leading authors and their country affiliations, yearly scholarly contributions, and the subject areas where most of the two fuzzy notions in MCDM approaches are applied. Finally, the study presents trends and directions as far as the applications of classical fuzzy set and intuitionistic fuzzy sets in MCDM are concerned. © 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007351
utb.identifier.obdid 43876371
utb.identifier.scopus 2-s2.0-85018423286
utb.identifier.wok 000400823600010
utb.source j-wok
dc.date.accessioned 2017-09-08T12:14:44Z
dc.date.available 2017-09-08T12:14:44Z
dc.description.sponsorship ministry of education, youth and sports of the Czech Republic within the national sustainability programme [LO1303, MSMT-7778/2014]; European regional development fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; grant agency of the Czech Republic-GACR [588 P103/15/06700s]; Internal Grant Agency of Tomas Bata University in Zlin [GA/CEBIATECH/2016/007]
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Prieto, Luis Antonio Beltran
utb.fulltext.affiliation Eric Afful-Dadzie 1 • Zuzana Komínková Oplatková 1 • Luis Antonio Beltran Prieto 1 ✉ Eric Afful-Dadzie afful@fai.utb.cz Zuzana Komínková Oplatková kominkovaoplatkova@fai.utb.cz Luis Antonio Beltran Prieto beltran_prieto@fai.utb.cz 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic
utb.fulltext.dates Received: 6 July 2015 / Revised: 11 April 2016 / Accepted: 19 May 2016 / Published online: 18 July 2016
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utb.fulltext.sponsorship This work was supported by the ministry of education, youth and sports of the Czech Republic within the national sustainability programme project No. LO1303 (MSMT-7778/2014) and also by the European regional development fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, further it was supported by grant agency of the Czech Republic—GACR 588 P103/15/06700s and by Internal Grant Agency of Tomas Bata University in Zlin under the project No. GA/CEBIATECH/2016/007.
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