DocumentCode :
2911576
Title :
A generalized model for ranking fuzzy sets
Author :
Cross, V. ; Setnes, M.
Author_Institution :
Dept. of Syst. Anal., Miami Univ., Oxford, OH, USA
Volume :
1
fYear :
1998
fDate :
4-9 May 1998
Firstpage :
773
Abstract :
A new, generalized approach for the ranking of n fuzzy numbers has been developed based on compatibility measures. Many existing ranking proposals are specific examples of the generalized method determined by the compatibility measure used. For each pair of the n fuzzy numbers to be ordered, the method determines the fuzzy minimum and the fuzzy maximum of the pair and measures the compatibility of each number in the pair to the pair´s fuzzy minimum and maximum. A fuzzy number´s compatibility to the fuzzy minimum represents its degree of being the smaller of the two; likewise, its compatibility to the fuzzy maximum represents its degree of being the larger of the two. From the pairwise rankings a total ordering can be obtained for the n fuzzy numbers. The relation of other ranking methods to each other and how the compatibility-based ranking method generalizes these approaches are presented
Keywords :
fuzzy set theory; optimisation; compatibility measures; fuzzy maximum; fuzzy minimum; fuzzy numbers; fuzzy set ranking; pairwise rankings; Control systems; Councils; Fuzzy logic; Fuzzy sets; Laboratories; Proposals; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7584
Print_ISBN :
0-7803-4863-X
Type :
conf
DOI :
10.1109/FUZZY.1998.687588
Filename :
687588
Link To Document :
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