A new method for fuzzy group decision-making based on similarity measures between interval linguistic terms

Author

Chen, Shyi-Ming ; Lee, Li-wei

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

60

Lastpage

65

Abstract

This paper presents a new method for fuzzy group decision-making based on similarity measures between interval linguistic terms, where interval linguistic terms are used to represent the decision-makers´ preference. The existing method for fuzzy group decision-making has the following drawbacks: 1) it can not deal with fuzzy group decision-making problems in which interval linguistic terms are used to represent the decision makers´ preference; 2) it has the never-ending consensus process problem when the threshold value r = 1. The proposed method can overcome the drawbacks of the existing method.

Keywords

decision making; formal languages; fuzzy set theory; natural languages; decision maker preference; fuzzy group decision making; interval linguistic terms; similarity measure; Artificial intelligence; Decision making; Fuzzy group decision-making; interval linguistic terms; likelihood-based comparison relations; similarity measures;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5642201

Filename

5642201