Results 221 to 230 of about 144,713 (279)
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Fundamenta Informaticae, 1999
Using the embedding method, the fuzzy integral is represented as a parametric Riemann integral. An algorithm which approximates this integral uniformly, is incorporated to design a soft computing tool for solving a fuzzy Fredholm integral equation of the second kind with arbitrary kernel, using a uniformly convergent iterative procedure.
Friedman, Menahem +2 more
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Using the embedding method, the fuzzy integral is represented as a parametric Riemann integral. An algorithm which approximates this integral uniformly, is incorporated to design a soft computing tool for solving a fuzzy Fredholm integral equation of the second kind with arbitrary kernel, using a uniformly convergent iterative procedure.
Friedman, Menahem +2 more
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Fuzzy Sets and Systems, 1998
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Wu, Congxin +3 more
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Wu, Congxin +3 more
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Fuzzy ontologies and fuzzy integrals
2011 11th International Conference on Intelligent Systems Design and Applications, 2011Fuzzy ontologies extend classical ontologies to allow the representation of imprecise and vague knowledge. Although a relatively important amount of work has been carried out in the last years and they have been successfully used in several applications, several notions from fuzzy logic, such as fuzzy integrals, have not been considered yet in fuzzy ...
Bobillo F, Straccia U
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Fuzzy Sets and Systems, 1996
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Fuzzy Sets and Systems, 1999
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Wu, Congxin +3 more
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Wu, Congxin +3 more
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Fuzzy-valued fuzzy measures and generalized fuzzy integrals
Fuzzy Sets and Systems, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guo, Caimei, Zhang, Deli, Wu, Congxin
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Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2002
We present two solution methods for fuzzy integral equations. Both solution methods are applied to two procedures for solving the crisp problem: (1) the resolvent kernel method; and (2) special solution methods for symmetric kernels. Numerous examples are given.
J.J. Buckley, T. Feuring, Y. Hayashi
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We present two solution methods for fuzzy integral equations. Both solution methods are applied to two procedures for solving the crisp problem: (1) the resolvent kernel method; and (2) special solution methods for symmetric kernels. Numerous examples are given.
J.J. Buckley, T. Feuring, Y. Hayashi
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Fuzzy integrals of fuzzy-valued functions
Fuzzy Sets and Systems, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Deli, Wang, Zixiao
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An integrated fuzzy cells-classifier
Image and Vision Computing, 2006This paper introduces a genetic algorithm able to combine different classifiers based on different distance functions. The use of a genetic algorithm is motivated by the fact that the combination phase is based on the optimization of a vote strategy. The method has been applied to the classification of four types of biological cells, results show an ...
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