Abstract:- In this paper, we discuss a general fuzzy model that is based on the Takagi-Sugeno inference engine. In particular, we propose new general inference mechanisms that are not straightforward extensions of the singleton model inference (as Takagi-Sugeno first model). We present also several interesting concepts like: Separable Additive Fuzzy Systems, Reciprocal Additiv
Abstract:- The Takagi-Sugeno Fuzzy Model (TSF) is a universal approximator of the continuous real f...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. ...
Abstract—The paper deals with the interpretability problem of 1 st order Takagi-Sugeno systems and i...
An approach to the on-line design of Takagi-Sugeno type fuzzy models is presented in the paper. It c...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
A novel optimal method is developed to improve the identification and estimation of Takagi-Sugeno (T...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy models, especially Takagi-Sugeno (T-S) fuzzy models, have received particular attention in the...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Abstract:- The Takagi-Sugeno Fuzzy Model (TSF) is a universal approximator of the continuous real f...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. ...
Abstract—The paper deals with the interpretability problem of 1 st order Takagi-Sugeno systems and i...
An approach to the on-line design of Takagi-Sugeno type fuzzy models is presented in the paper. It c...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
A novel optimal method is developed to improve the identification and estimation of Takagi-Sugeno (T...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy models, especially Takagi-Sugeno (T-S) fuzzy models, have received particular attention in the...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Abstract:- The Takagi-Sugeno Fuzzy Model (TSF) is a universal approximator of the continuous real f...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...
Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the ...