The influence of some fuzzy implication operators on the accuracy of a fuzzy model-part II |
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Authors: | Jerzy B. Kiszka Maria E. Kochańska Danuta S. Sliwińska |
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Affiliation: | Cybernetics Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, Sask., Canada S7N 0W0;Technical University of Kielce, 25-314 Kielce, Al. 1000-lecia P.P. 7, Poland |
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Abstract: | The influence of fuzzy implication operators and the connective Also on the accuracy of a fuzzy model of a d.c. series motor is considered. Some typical fuzzy implication operators are applied to the construction of a fuzzy model of a d.c. series motor. A root-mean-square error is used as the criterion of the fuzzy model's adequacy to the real system. A number of mathematical operations necessary for the implementation of the fuzzy model are used as the criterion by which the fuzzy model's applicability if estimated from the point of view of computing techniques. The best types of fuzzy relations, representing fuzzy models of a real system, are chosen in order to secure the least root-mean-square error with minimal number of mathematical operations necessary for computer implementation. |
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Keywords: | Fuzzy sets Fuzzy modelling Fuzzy implication operator Model accuracy Electric drive |
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