Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets

Author

Lee, Li-wei ; Chen, Shyi-Ming

Author_Institution

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

Volume

6

fYear

2008

fDate

12-15 July 2008

Firstpage

3260

Lastpage

3265

Abstract

Type-2 fuzzy sets involve more uncertainties than type-1 fuzzy sets. They provide us additional degrees of freedom to represent the uncertainty and the fuzziness of the real-world. Type-2 fuzzy sets can be regarded as an extension of type-1 fuzzy sets. In this paper, we extend the TOPSIS method to propose a new method for handling fuzzy multiple attributes group decision-making problems based on the ranking values of interval type-2 fuzzy sets. The proposed method provides us a useful way to handle fuzzy multiple attributes group decision-making problems in a more flexible and more intelligent manner.

Keywords

decision making; fuzzy set theory; uncertain systems; TOPSIS method; fuzzy multiple attributes group decision-making; interval type-2 fuzzy sets; ranking values; Computer science; Cybernetics; Decision making; Fuzzy sets; Machine learning; Uncertainty; Fuzzy multiple attributes group decision-making; Interval type-2 fuzzy sets; Ranking values; TOPSIS;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620968

Filename

4620968