A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems

The concept of an intuitionistic fuzzy number (IFN) is of importance for quantifying an ill-known quantity, and the ranking of IFNs is a very difficult problem. The aim of this paper is to introduce the concept of a triangular IFN (TIFN) as a special case of the IFN and develop a new methodology for...

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Published inComputers & mathematics with applications (1987) Vol. 60; no. 6; pp. 1557 - 1570
Main Author Li, Deng-Feng
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2010
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Abstract The concept of an intuitionistic fuzzy number (IFN) is of importance for quantifying an ill-known quantity, and the ranking of IFNs is a very difficult problem. The aim of this paper is to introduce the concept of a triangular IFN (TIFN) as a special case of the IFN and develop a new methodology for ranking TIFNs. Firstly the concepts of TIFNs and cut sets as well as arithmetical operations are introduced. Then the values and ambiguities of the membership function and the non-membership function for a TIFN are defined. A new ranking method is developed on the basis of the concept of a ratio of the value index to the ambiguity index and applied to multiattribute decision making problems in which the ratings of alternatives on attributes are expressed with TIFNs. The validity and applicability of the proposed method, as well as analysis of the comparison with other methods, are illustrated with a real example.
AbstractList The concept of an intuitionistic fuzzy number (IFN) is of importance for quantifying an ill-known quantity, and the ranking of IFNs is a very difficult problem. The aim of this paper is to introduce the concept of a triangular IFN (TIFN) as a special case of the IFN and develop a new methodology for ranking TIFNs. Firstly the concepts of TIFNs and cut sets as well as arithmetical operations are introduced. Then the values and ambiguities of the membership function and the non-membership function for a TIFN are defined. A new ranking method is developed on the basis of the concept of a ratio of the value index to the ambiguity index and applied to multiattribute decision making problems in which the ratings of alternatives on attributes are expressed with TIFNs. The validity and applicability of the proposed method, as well as analysis of the comparison with other methods, are illustrated with a real example.
Author Li, Deng-Feng
Author_xml – sequence: 1
  givenname: Deng-Feng
  surname: Li
  fullname: Li, Deng-Feng
  email: lidengfeng65@hotmail.com, dengfengli@sina.com
  organization: School of Management, Fuzhou University, No. 2, Xueyuan Road, Daxue New District, Fuzhou District, Fuzhou, Fujian 350108, China
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Snippet The concept of an intuitionistic fuzzy number (IFN) is of importance for quantifying an ill-known quantity, and the ranking of IFNs is a very difficult...
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SubjectTerms Ambiguity
Decision making
Fuzzy set
Fuzzy systems
Intuitionistic fuzzy number
Mathematical analysis
Mathematical models
Methodology
Preference modeling
Ranking
Ratings
Uncertainty
Title A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems
URI https://dx.doi.org/10.1016/j.camwa.2010.06.039
https://www.proquest.com/docview/787207964
Volume 60
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