基于粗糙集和模糊集理论的规则提取方法

[1] Transparent fuzzy modeling using fuzzy clustering and GA’s. Magne S,Huns R. IEEE Trans. Part C . 1999

[2] Rough Sets: Theoretical Aspects of Reasoning About Data. Pawlak,Z. . 1994

[3] Structure identification of fuzzy model. Sugeno M,Kang G T. Fuzzy Sets and Systems . 1988

[4] ANFIS: Adaptive-network-based fuzzy inference system. Jang J. IEEE Transactions on Systems Man and Cybernetics . 1993

[5] Induction of fuzzy rules and membership functions from training examples. Hong T P,Lcc C Y. Fuzzy Sets and Systems . 1996

[6] Learning a coverage of maximally general fuzzy rules by rough sets. Hong T P,Wang TT. Expert Systems With Applications . 2000

[7] Nonlinear system input structure identification: two stage fuzzy curves and surfaces. Yinghua L,et al. IEEE Transactions on Systems Man and Cybernetics . 1998

[1] Transparent fuzzy modeling using fuzzy clustering and GA’s. Magne S,Huns R. IEEE Trans. Part C . 1999

[2] Rough Sets: Theoretical Aspects of Reasoning About Data. Pawlak,Z. . 1994

[3] Structure identification of fuzzy model. Sugeno M,Kang G T. Fuzzy Sets and Systems . 1988

[4] ANFIS: Adaptive-network-based fuzzy inference system. Jang J. IEEE Transactions on Systems Man and Cybernetics . 1993

[5] Induction of fuzzy rules and membership functions from training examples. Hong T P,Lcc C Y. Fuzzy Sets and Systems . 1996

[6] Learning a coverage of maximally general fuzzy rules by rough sets. Hong T P,Wang TT. Expert Systems With Applications . 2000

[7] Nonlinear system input structure identification: two stage fuzzy curves and surfaces. Yinghua L,et al. IEEE Transactions on Systems Man and Cybernetics . 1998