A new method for fuzzy decision-making based on likelihood-based comparison relations

Author

Lee, Li-wei ; Chen, Shyi-Ming

Author_Institution

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

Volume

5

fYear

2009

fDate

12-15 July 2009

Firstpage

3021

Lastpage

3025

Abstract

In this paper, we present a new fuzzy decision-making method based on likelihood-based comparison relations. First, we introduce likelihood-based comparison relations on intervals. Then, we propose the likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets based on likelihood-based comparison relations on intervals. Finally, we present a new fuzzy decision-making method based on likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets. The evaluated values of the proposed method can either be crisp values or intervals or type-1 fuzzy sets or interval type-2 fuzzy sets. The proposed method can handle fuzzy decision-making problems in a more flexible and more intelligent manner.

Keywords

decision making; fuzzy set theory; fuzzy decision-making method; interval type-2 fuzzy set; likelihood-based comparison relation; type-1 fuzzy set; Arithmetic; Computer science; Cybernetics; Decision making; Fuzzy sets; Machine learning; Fuzzy decision-making; Interval type-2 fuzzy sets; Likelihood-based comparison relations; Probability-based comparison relations;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212587

Filename

5212587