A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the compound of the antecedents, which is based on the proposed rectangular pyramid membership function instead of t-norm. It is proved that the system is capable of approximating any continuous function of two variables to arbitrary degree on a compact domain. Moreover, this paper provides one sufficient condition of approximating function so that the new fuzzy system can approximate any continuous function of two variables with bounded partial derivatives. Finally, simulation examples are given to show how the proposed fuzzy system can be effectively used for function approximation
: We point out that B-spline basis functions are naturally defined membership functions for fuzzy lo...
A fuzzy approximation method called fuzzy transforms for approximation of continuous function is pre...
A prototype fuzzy system is quite easy to set up and modify with the techniques within fuzzy system ...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
A new fuzzy system containing a dynamic rule base is proposed in this paper. The novelty of the prop...
A fuzzy system can uniformly approximate any real continuous function on a compact domain to any deg...
The need of function approximations arises in many branches of applied mathematics and computer scie...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
In this study, orthogonal approximation concept is applied to fuzzy systems. We propose a new useful...
AbstractIn this paper we propose an improvement in the field of fuzzy function approximation. It is ...
One of the reasons why fuzzy methodology is successful is that fuzzy systems are universal approxima...
A fuzzy logic system (FLS) can be completely described through its behavioral function. If the analy...
A serious problem limiting the applicability of standard fuzzy controllers is the rule-explosion pro...
The choice of fuzzy set functions affects how well fuzzy systems approximate functions. The most com...
Email fzhang ilkhacva knollgtechfakunibielefeldde Abstract We point out that Bspline basis funct...
: We point out that B-spline basis functions are naturally defined membership functions for fuzzy lo...
A fuzzy approximation method called fuzzy transforms for approximation of continuous function is pre...
A prototype fuzzy system is quite easy to set up and modify with the techniques within fuzzy system ...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
A new fuzzy system containing a dynamic rule base is proposed in this paper. The novelty of the prop...
A fuzzy system can uniformly approximate any real continuous function on a compact domain to any deg...
The need of function approximations arises in many branches of applied mathematics and computer scie...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
In this study, orthogonal approximation concept is applied to fuzzy systems. We propose a new useful...
AbstractIn this paper we propose an improvement in the field of fuzzy function approximation. It is ...
One of the reasons why fuzzy methodology is successful is that fuzzy systems are universal approxima...
A fuzzy logic system (FLS) can be completely described through its behavioral function. If the analy...
A serious problem limiting the applicability of standard fuzzy controllers is the rule-explosion pro...
The choice of fuzzy set functions affects how well fuzzy systems approximate functions. The most com...
Email fzhang ilkhacva knollgtechfakunibielefeldde Abstract We point out that Bspline basis funct...
: We point out that B-spline basis functions are naturally defined membership functions for fuzzy lo...
A fuzzy approximation method called fuzzy transforms for approximation of continuous function is pre...
A prototype fuzzy system is quite easy to set up and modify with the techniques within fuzzy system ...