A New Method for Assessing the Weights of Fuzzy Opinions in Group Decision Environment

Author

Gong, Yanbing ; Zhang, Jiguo

Author_Institution

Bus. Sch., Hohai Univ., Changzhou

Volume

1

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

836

Lastpage

839

Abstract

The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. In this paper, a minimax disparity method for the assessment of the weights to be associated with fuzzy opinions is proposed. The proposed approach generates the weights by minimizing the maximum the difference of any two adjacent individual weighted fuzzy opinions and the difference of individual weighted fuzzy opinion and the weighted mean value, which is called the possibilistic mean value minimax difference method (MVMDM). Three numerical examples are provided to illustrate the application of the proposed approach in aggregating fuzzy opinions in a simple and effective way.

Keywords

decision making; decision theory; fuzzy set theory; minimax techniques; possibility theory; fuzzy group decision analysis; individual weighted fuzzy opinion aggregation; minimax disparity method; possibilistic mean value minimax difference method; Aggregates; Automation; Decision making; Information analysis; Least squares methods; Linear programming; Minimax techniques; Moon; Optimization methods; Fuzzy opinions aggregation; group consensus opinions; minimax; possibilistic mean value;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.104

Filename

4659604