A new fuzzy multiple criteria decision making method based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and a-cuts of fuzzy sets

Author

Li-Wei Lee ; Shyi-Ming Chen

Author_Institution

Dept. of Comput. & Commun. Eng, De Lin Inst. of Technol., Taipei, Taiwan

Volume

1

fYear

2014

fDate

13-16 July 2014

Firstpage

326

Lastpage

331

Abstract

In this paper, we propose the concept of likelihood-based comparison relations of hesitant fuzzy linguistic term sets to compare two hesitant fuzzy linguistic term sets based on a-cuts of fuzzy sets. We also propose a new fuzzy multiple criteria decision making method based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and the a -cuts of fuzzy sets. The proposed fuzzy multiple criteria decision making method has the following advantages: 1) it can overcome the drawback of the existing methods which cannot distinguish the preference order of alternatives in some situations and 2) it allows experts to use a fuzzy target to reflect his/her attitude for increasing the flexibility.

Keywords

decision making; fuzzy logic; fuzzy reasoning; fuzzy set theory; α-cuts of fuzzy sets; fuzzy multiple criteria decision making; hesitant fuzzy linguistic term sets; likelihood-based comparison relation; Abstracts; Pragmatics; Fuzzy multiple criteria decision making; Hesitant fuzzy linguistic term sets; Likelihood-based comparison relations;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2014 International Conference on

Conference_Location

Lanzhou

ISSN

2160-133X

Print_ISBN

978-1-4799-4216-9

Type

conf

DOI

10.1109/ICMLC.2014.7009137

Filename

7009137