Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets
Expert Systems with ApplicationsPublished 6 July 2010
Deng‐Feng Li
Citations168
SJR quartileQ1
SJR score1.85
SNIP2.55
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TL;DR
This paper investigates multiattribute decision making (MADM) problems with ratings of alternatives being expressed using IF sets and attribute weights given as real numbers and develops the method and procedure based on the extended GOWA operators to solve the MADM problems with IF sets.
Abstract
The intuitionistic fuzzy (IF) set characterized by two functions was a generalization of the fuzzy set. In this paper, we investigate multiattribute decision making (MADM) problems with ratings of alternatives being expressed using IF sets and attribute weights given as real numbers. Firstly, the generalized ordered weighted averaging (GOWA) operators introduced by Yager [Yager, R. (2004). Generalized OWA aggregation operators. Fuzzy Optimization and Decision Making, 3, 93–107] are extended to aggregate IF sets. Secondly, MADM problems with IF sets are formulated through transforming the ratings of alternatives on both qualitative and quantitative attributes into IF sets in a unified way. The method and procedure based on the extended GOWA operators are developed to solve the MADM problems with IF sets. Finally, the effectiveness and practicability of the proposed method are illustrated with a numerical example.
Keywords
Decision SciencesEngineering
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