A new identification method for linguistic fuzzy models

This paper presents a method for deriving a linguistic fuzzy model from an already identified fuzzy linear model. The approach is based on the novel concept of complementary fuzzy partition which is derived from the partition of a fuzzy linear model. It combines a well established identification method for fuzzy linear models with a good semantic interpretation capabilities of linguistic fuzzy models. The method is applied to the identification of a linguistic fuzzy model of a highly nonlinear process. It is shown that along with the semantic meaning the global numerical accuracy is also improved, compared to the original fuzzy linear model.<<ETX>>

[1]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[2]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[3]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[4]  Witold Pedrycz.  Identification in fuzzy systems , 1984, IEEE Transactions on Systems, Man, and Cybernetics.

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

[6]  M. Sugeno,et al.  Fuzzy modeling and control of multilayer incinerator , 1986 .

[7]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[8]  Kazuo Tanaka,et al.  Successive identification of a fuzzy model and its applications to prediction of a complex system , 1991 .

[9]  M. Chung,et al.  Identification of fuzzy relational model and its application to control , 1993 .

[10]  R. Gorez,et al.  A fuzzy clustering method for the identification of fuzzy models for dynamic systems , 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

[11]  R. Jager,et al.  Interpolation issues in Sugeno-Takagi reasoning , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[12]  Shyh Hwang,et al.  An identification algorithm in fuzzy relational systems , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.