Details

Autor(en) / Beteiligte

• Sin-Jun Kang
• Chun-Hee Woo
• Hee-Soo Hwang
• Woo, K.B.

Titel

Evolutionary design of fuzzy rule base for nonlinear system modeling and control

Ist Teil von

• IEEE transactions on fuzzy systems, 2000-02, Vol.8 (1), p.37-45

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2000

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• In designing fuzzy models and controllers, we encounter a major difficulty in the identification of an optimized fuzzy rule base, which is traditionally achieved by a tedious trial-and-error process. The paper presents an approach to the evolutionary design of an optimal fuzzy rule base for modeling and control. Evolutionary programming is used to simultaneously evolve the structure and the parameter of fuzzy rule base for a given task. To check the effectiveness of the suggested approach, four numerical examples are examined. The performance of the identified fuzzy rule bases is demonstrated.