Generating a fuzzy rule base with an additive interpretation
| Authors: | Štěpnička Martin, University of Ostrava, IRAFM, Czech Republic
Valášek Radek, University of Ostrava, IRAFM, Czech Republic |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Soft Computing for Control |
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| Keywords: | Fuzzy control, Fuzzy models, Rule based-systems, Fuzzy sets, Learning algorithms |
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Abstract
Since 1965 the fuzzy set theory and its application have deep development especially inmany disciplines close to the automatic control of processes. A fuzzy model has been shown tobe able to approximate the behaviour of many complex processes. Very robust fuzzy controllercan be constructed in various ways. One of them, learning algorithm, is focused in this paperwhile the approximation idea has been brought from the technique called F-transforms.
