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A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling *
| Content Provider | CiteSeerX |
|---|---|
| Author | Cordón, Oscar Herrera, Francisco Márquez, Francisco Alfredo Peregrín, Antonio |
| Abstract | Abstract. Evolutionary Adaptive Defuzzification Methods are a kind of defuzzification methods based on using a parametrical defuzzification expression tuned with evolutionary algorithms. Their goal is to increase the accuracy of the fuzzy system without loosing its interpretability. They induce a kind of rule cooperation in the defuzzification interface. 1 This paper deals with Evolutionary Adaptive Defuzzification Methods. We study their common general expression, the different defuzzification methods that can be obtained from it, their interpretation, and their accuracy. We consider two applications in order to analyse their accuracy in practice. We get some useful results for practical fuzzy systems designed by means of this kind of Intelligent Hybrid System. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Evolutionary Adaptive Defuzzification Method Fuzzy Modeling Defuzzification Method Different Defuzzification Method Defuzzification Interface Fuzzy System Common General Expression Parametrical Defuzzification Expression Rule Cooperation Useful Result Intelligent Hybrid System Practical Fuzzy System |
| Content Type | Text |
| Resource Type | Article |
