DocumentCode
1641789
Title
Determining fuzzy measures by Choquet integral
Author
Wang, Zhenyuan ; Klir, George J. ; Wang, Wei
Author_Institution
Dept. of Syst. Sci. & Ind. Eng., State Univ. of New York, Binghamton, NY, USA
fYear
1995
Firstpage
724
Lastpage
727
Abstract
Fuzzy measures and the Choquet integral are generalizations of classical measures and the Lebesgue integral, respectively. Given a fuzzy measure and a nonnegative measurable function on a measurable space, the Choquet integral determines a new fuzzy measure that is absolutely continuous with respect to the original one (in a generalized sense for fuzzy measures). This new fuzzy measure preserves almost all desirable structural characteristics of the original fuzzy measure, such as subadditivity, superadditivity, null-additivity, converse-null-additivity, autocontinuity, converse-autocontinuity, uniform autocontinuity, uniform converse-autocontinuity, and fuzzy multiplicativity. As a notable exception, fuzzy additivity is not necessarily preserved. Such a construction is a useful method to define sound fuzzy measures or revise fuzzy measures in various applications
Keywords
fuzzy logic; -additivity; Choquet integral; Lebesgue integral; autocontinuity; classical measures; converse--additivity; converse-autocontinuity; fuzzy measures; fuzzy multiplicativity; subadditivity; superadditivity; uniform autocontinuity; uniform converse-autocontinuity; Area measurement; Expert systems; Extraterrestrial measurements; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Image processing; Industrial engineering; Pattern recognition; Risk analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location
College Park, MD
Print_ISBN
0-8186-7126-2
Type
conf
DOI
10.1109/ISUMA.1995.527784
Filename
527784
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