A Learning Process for Fuzzy Control Rules using GA Presented by Alp Sardağ.

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Presentation transcript:

A Learning Process for Fuzzy Control Rules using GA Presented by Alp Sardağ

Goal Learning fuzzy control rules from examples. Three steps: Generation of fuzzy rules with iteration. Combination of expert rules and the previously generated rules; removing redundant rules. Tuning membership functions.

Motivation Converting the experts know-how into if- then rules is difficult. Conflicting knowledge. İnclude inspiration and intuition. Apply automatic techniques to obtain fuzzy control rules.

Methodology Based on three stages: Genetic Generating Process. Genetic Process for Combining rules and simplifying them. Genetic Tuning Process.