A new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets

Author

Chen, Shyi-Ming ; Wang, Cheng-yi

Author_Institution

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

Volume

1

fYear

2011

fDate

10-13 July 2011

Firstpage

131

Lastpage

136

Abstract

This paper presents a new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets. First, we propose a new fuzzy ranking method based on the α-cuts of generalized fuzzy numbers and interval type-2 fuzzy sets. The proposed fuzzy ranking method involves a decision-maker´s attitude towards risks to calculate the left areas and the right areas of generalized fuzzy numbers and interval type-2 fuzzy sets with the consideration of the heights of generalized fuzzy numbers and interval type-2 fuzzy sets. Based on the proposed fuzzy ranking method, we propose a new method for fuzzy decision making. The proposed fuzzy decision making method is more flexible and more intelligent than the existing fuzzy decision making methods, where it not only considers the decision-maker´s attitude towards risks, but also can deal with situations where the evaluating values are represented by interval type-2 fuzzy sets.

Keywords

decision making; fuzzy set theory; number theory; α-cuts; fuzzy decision making; fuzzy ranking method; interval type-2 fuzzy sets; ranking generalized fuzzy numbers; Cybernetics; Decision making; Fuzzy sets; Gold; Machine learning; Silicon; Strontium; Fuzzy decision making; Fuzzy ranking; Generalized fuzzy numbers; Interval type-2 fuzzy sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on

Conference_Location

Guilin

ISSN

2160-133X

Print_ISBN

978-1-4577-0305-8

Type

conf

DOI

10.1109/ICMLC.2011.6016693

Filename

6016693