Title
Development and evaluation of five fuzzy multiattribute decision-making methods
Abstract
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
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
Search Limit
100116
Name
Order
Citations
PageRank
Evangelos Triantaphyllou130946.53
Chi-Tun Lin211610.42