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이철희,주용석 강원대학교 정보통신연구소 2003 정보통신논문지 Vol.7 No.-
Fuzzy system has in general a drawback that no well-structured and systematic procedure for its design exists. To overcome this difficulty, we suggest a new design method for fuzzy model by combining genetic algorithm(GA) and rough set(RS) theory. Even though the structure and the parameters of fuzzy model may be optimally tuned by GA, it is a time consuming process due the huge serach space. Therefore we introduce rough set theory for rule reduction procedure. As a result, the decrease of learning time and the considerable rate of rule reduction are achieved without loss of useful information. The proposed algorithm is composed of three stages; First stage is quasi-optimization of fuzzy model using GA(coarse tuning). Next the obtained rule base is reduced by rough set concept(rule reduction). Finally only the membership functions of the fixed rules are re-optimized by GA(fine tuning). To check the effectiveness of the suggested algorithm, examples for time series prediction are examined.