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FUZZ-IEEE
Genetic algorithms (GAs) and other evolutionary optimization methods to design fuzzy rules from data for systems modeling and classification have received much attention in recent literature. We show that different tools for modeling and complexity r
Publikováno v:
FUZZ-IEEE
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems, May 2000, San Antonio, United States. pp.483-487, ⟨10.1109/FUZZY.2000.838707⟩
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems, May 2000, San Antonio, United States. pp.483-487, ⟨10.1109/FUZZY.2000.838707⟩
International audience; We propose a new method to use an incomplete rule base with imprecise descriptions of variables. We extend classical interpolative reasoning to this case, under the assumption of graduality in variations of the variables, by u