A new fuzzy TOPSIS for fuzzy MADM problems under group decisions

Wann Yih Wu, Chinho Lin, Jung Yuan Kung, Chia Tzu Lin

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Fuzzy MADM (multiple attributes decision making) problem has received much attention from researchers since it has been an important issue in numerous fields. Fuzzy TOPSIS (technique for order preference by similarity to ideal solution) has become one of the most widely used fuzzy MADM methods. This paper proposes a new fuzzy TOPSIS to deal with the fuzzy MADM problem under group decisions. This approach employs triangular fuzzy numbers to represent linguistic values for indicating importance weights of chosen attributes and evaluating alternative candidates under different attributes. This approach can overcome the drawbacks shown in existing related studies, and it can be applied in various domains. A numerical example is also given to demonstrate the proposed approach.

Original languageEnglish
Pages (from-to)109-115
Number of pages7
JournalJournal of Intelligent and Fuzzy Systems
Volume18
Issue number2
Publication statusPublished - 2007 Jun 11

Fingerprint

Multiple Attribute Decision Making
Group Decision
Decision making
Linguistics
Attribute
Triangular Fuzzy number
Similarity
Numerical Examples
Alternatives
Demonstrate

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Wu, Wann Yih ; Lin, Chinho ; Kung, Jung Yuan ; Lin, Chia Tzu. / A new fuzzy TOPSIS for fuzzy MADM problems under group decisions. In: Journal of Intelligent and Fuzzy Systems. 2007 ; Vol. 18, No. 2. pp. 109-115.
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A new fuzzy TOPSIS for fuzzy MADM problems under group decisions. / Wu, Wann Yih; Lin, Chinho; Kung, Jung Yuan; Lin, Chia Tzu.

In: Journal of Intelligent and Fuzzy Systems, Vol. 18, No. 2, 11.06.2007, p. 109-115.

Research output: Contribution to journalArticle

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