On the optimality of the Takagi-Sugeno-Kang fuzzy inference mechanism

It is shown that the Takagi-Sugeno-Kang (TSK) fuzzy inference mechanism is optimal with respect to a certain criterion that quantifies the controversy between the inference made, and the knowledge represented in the knowledge-base.<<ETX>>

[1]  Tor Arne Johansen,et al.  Fuzzy model based control: stability, robustness, and performance issues , 1994, IEEE Trans. Fuzzy Syst..

[2]  B. Kosko Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[3]  Satoru Fukami,et al.  Some considerations on fuzzy conditional inference , 1980 .

[4]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[5]  T. A. Johansen,et al.  On local and fuzzy modelling , 1993, Third International Conference on Industrial Fuzzy Control and Intelligent Systems.

[6]  D. Luenberger Optimization by Vector Space Methods , 1968 .

[7]  M. Sugeno,et al.  Structure identification of fuzzy model , 1988 .

[8]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.