DocumentCode :
293333
Title :
A new algorithm for identifying fuzzy measures and its application to pattern recognition
Author :
Grabisch, Michel
Author_Institution :
Central Res. Lab., Thomson-CSF, Orsay, France
Volume :
1
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
145
Abstract :
We present a new algorithm for identifying fuzzy measures, which is a kind of gradient algorithm with constraints. Its performance is superior to the one of previous attempts, and we show its efficiency to a problem of pattern recognition using Choquet integral
Keywords :
fuzzy set theory; identification; integral equations; pattern recognition; Choquet integral; efficiency; fuzzy measures; fuzzy set theory; gradient algorithm; pattern recognition; Books; Constraint optimization; Decision making; Decision theory; Fuzzy sets; Game theory; Laboratories; Lattices; Pattern recognition; Utility theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409673
Filename :
409673
Link To Document :
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