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
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;
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
DOI :
10.1109/ISUMA.1995.527784