Title :
Convergence theorems for sequences of Choquet integrals and the stability of nonlinear integral systems
Author :
Klir, George J. ; Wang, Zhenyuan
Author_Institution :
Dept. of Syst. Sci. & Ind. Eng., State Univ. of New York, Binghamton, NY, USA
Abstract :
In the last 20 years, the theoretical as well as practical significance of nonadditive set functions and nonlinear integrals has increasingly been recognized. The Choquet integral with respect to nonadditive monotone set functions is one kind of nonlinear functionals defined on a subspace of all real-valued measurable functions. Unlike the fuzzy integral, which uses the maximum and minimum operators, the Choquet integral is defined via the common addition and multiplication and, therefore, it is a generalization of the classical Lebesgue integral. The convergence of sequences of measurable functions and relevant convergence theorems for sequences of fuzzy integrals have already been investigated by Wang (1984) and Wang and Klir (1992). In an analogous way, we investigate the convergence of sequences of Choquet integrals in this paper. This investigation is, perhaps, even more relevant to practical applications. As an application of convergent theorems, we investigate the stability of a class of nonlinear systems that can be identified by nonnegative monotone set functions with the Choquet integral
Keywords :
convergence of numerical methods; functional equations; functions; fuzzy set theory; fuzzy systems; integration; nonlinear systems; sequences; Choquet integral sequences; Lebesgue integral; addition; convergence theorems; multiplication; nonadditive monotone set functions; nonlinear functionals; nonlinear integral systems stability; nonnegative monotone set functions; real-valued measurable functions; Convergence; Extraterrestrial measurements; Industrial engineering; Integral equations; Intelligent systems; Nonlinear systems; Stability;
Conference_Titel :
Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
0-7803-3225-3
DOI :
10.1109/NAFIPS.1996.534797