Multi-criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure

Author

Saghafian, Soroush ; Hejazi, S. Reza

Author_Institution

Dept. of Ind. Eng., Sharif Univ. of Technol., Tehran

Volume

2

fYear

2005

fDate

28-30 Nov. 2005

Firstpage

215

Lastpage

221

Abstract

In this paper we propose a modified fuzzy technique for order performance by similarity to ideal solution (modified fuzzy TOPSIS) for the multi-criteria decision making (MCDM) problem when there is a group of decision makers. Regarding the value of the truth that a fuzzy number is greater than or equal to another fuzzy number, a new distance measure is proposed in this paper. This distance measure calculates the distance of each fuzzy number from both fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS). Then, the alternative which is simultaneously closer to FPIS and farther from FNIS would be selected as the best choice. To clarify our proposed procedure, a numerical example is discussed

Keywords

decision making; evolutionary computation; fuzzy set theory; operations research; fuzzy negative ideal solution; fuzzy positive ideal solution; modified fuzzy TOPSIS procedure; multicriteria group decision making; Aggregates; Costs; Decision making; Fuzzy control; Fuzzy set theory; Humans; Industrial engineering; Large-scale systems; Matrix converters; Production planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Vienna

Print_ISBN

0-7695-2504-0

Type

conf

DOI

10.1109/CIMCA.2005.1631471

Filename

1631471