DocumentCode :
2616779
Title :
Genetic algorithms used for determining belief measures and plausibility measures
Author :
Zhenyuan Wang ; Leung, Kwong-Sak ; Wang, Jia
Author_Institution :
Dept. of Math., Hebei Univ., China
fYear :
1997
fDate :
21-24 Sep 1997
Firstpage :
195
Lastpage :
198
Abstract :
Regarding the Choquet integral as a multi-input single-output system, one can use a set of input-output data to determine the belief measure or plausibility measure for the Choquet integral concerned. The least square method and a genetic algorithm are applied for this purpose
Keywords :
belief maintenance; genetic algorithms; integration; least squares approximations; Choquet integral; belief measure determination; genetic algorithms; input-output data; least square method; multi-input single-output system; plausibility measure determination; Area measurement; Computer science; Current measurement; Fuzzy sets; Fuzzy systems; Genetic algorithms; Hybrid intelligent systems; Image analysis; Information analysis; Pattern analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
Conference_Location :
Syracuse, NY
Print_ISBN :
0-7803-4078-7
Type :
conf
DOI :
10.1109/NAFIPS.1997.624036
Filename :
624036
Link To Document :
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