Sufficient conditions on general fuzzy systems as function approximators
Automatica (Journal of IFAC)
A course in fuzzy systems and control
A course in fuzzy systems and control
Necessary conditions for some typical fuzzy systems as universal approximators
Automatica (Journal of IFAC)
Approximation theory of fuzzy systems based upon genuine many-valued implications: SISO cases
Fuzzy Sets and Systems - Fuzzy models
Approximation theory of fuzzy systems based upon genuine many-valued implications: MIMO Cases
Fuzzy Sets and Systems - Fuzzy models
Hierarchical TS fuzzy system and its universal approximation
Information Sciences—Informatics and Computer Science: An International Journal
Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems
Fuzzy Sets and Systems
Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion
Information Sciences: an International Journal
Sufficient and necessary conditions for Boolean fuzzy systems as universal approximators
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
A Survey on Fuzzy Implication Functions
IEEE Transactions on Fuzzy Systems
Approximation theory of fuzzy systems-SISO case
IEEE Transactions on Fuzzy Systems
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
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In this paper, the construction and approximation problem of a single input and single output (SISO) fuzzy system with normal implication and center-of-gravity defuzzifier is discussed. First, the method of a non-singleton fuzzifier for the input variable and the concept of an adaptive universe for the output fuzzy set are proposed. Then, by using this method and this concept of an adaptive universe, SISO fuzzy systems based on center-of-gravity defuzzifier and normal implications such as the Kleene-Dienes implication or the Lukasiewicz implication are constructed. The constructed fuzzy systems have the general form S@?(x)=A"i^*(x)f(x"i)+A"i"+"1^*(x)f(x"i"+"1), with A"i^*(x)+A"i"+"1^*(x)=1, and, furthermore, they are universal approximators. The sufficient conditions for the proposed fuzzy systems to be universal approximators are also obtained. To illustrate the universal property, an example is also given.