A general fuzzy TOPSIS based on new fuzzy positive and negative ideal solution

Author

Javadian, Nikbakhsh ; Kazemi, Mohammad ; Khaksar-Haghani, Fahime ; Amiri-Aref, Mehdi ; Kia, Reza

Author_Institution

Dept. of Ind. Eng., Mazandaran Univ. of Sci. & Technol., Babol, Iran

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

2271

Lastpage

2274

Abstract

This paper presents a fuzzy multiple criteria group decision-making (FMCGDM) problem with the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) based on the new concept of positive and negative ideal solution. Triangular fuzzy numbers (TFN) among decision-making process are used to evaluate the weighted different alternatives versus various. Additionally, in this paper we compared this algorithm with three algorithms, obtained interesting result and showed this result in two tables. This result indicates that our method is better than other algorithms.

Keywords

decision making; fuzzy set theory; TOPSIS approach; group decision making problem; multiple criteria decision making; negative ideal solution concept; positive ideal solution concept; triangular fuzzy numbers; Decision making; Fuzzy set theory; Fuzzy sets; Industrial engineering; Java; Utility theory; Fuzzy distance; Fuzzy numbers; Positive and Negative Ideal Solution; TOPSIS;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5373055

Filename

5373055