Abstract | ||
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We present the development of five fuzzy multiattribute decision-making methods. These methods are based on the analytic hierarchy process (original and ideal mode), the weighted-sum model, the weighted-product model, and the topsis method. Moreover, these methods are examined in terms of two evaluative criteria. Computational results on test problems suggest that although all the methods are inaccurate, some of them seem to be more accurate than the others. The proposed evaluation methodology can easily be used in evaluating more fuzzy multiattribute decision making methods. |
Year | DOI | Venue |
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1996 | 10.1016/0888-613X(95)00119-2 | International Journal of Approximate Reasoning |
Keywords | Field | DocType |
Fuzzy decision-making,multiattribute decision-making,ranking of fuzzy numbers,pairwise comparisons,analytic hierarchy process,weighted-sum model,weighted-product model,topsis method | Discrete mathematics,Data mining,Pairwise comparison,Weighted product model,Mathematical optimization,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Weighted sum model,TOPSIS,Analytic hierarchy process,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 4 | 0888-613X |
Citations | PageRank | References |
116 | 10.42 | 7 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Evangelos Triantaphyllou | 1 | 309 | 46.53 |
Chi-Tun Lin | 2 | 116 | 10.42 |