A fuzzy system can uniformly approximate any real continuous function on a compact domain to any degree of accuracy. Such results can be viewed as an existence of optimal fuzzy systems. Li-Xin Wang discussed a similar problem using Gaussian membership function and Stone-Weierstrass Theorem. He established that fuzzy systems, with product inference, centroid defuzzification and Gaussian functions are capable of approximating any real continuous function on a compact set to arbitrary accuracy. In this paper we study a similar approximation problem by using exponential membership function
This paper deals with the approximation behaviour of soft computing techniques. First, we give a sur...
In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are...
AbstractIn this paper we propose an improvement in the field of fuzzy function approximation. It is ...
A fuzzy system can uniformly approximate any real continuous function on a compact domain to any deg...
The choice of fuzzy set functions affects how well fuzzy systems approximate functions. The most com...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
One of the reasons why fuzzy methodology is successful is that fuzzy systems are universal approxima...
A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the co...
A new fuzzy system containing a dynamic rule base is proposed in this paper. The novelty of the prop...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
The need of function approximations arises in many branches of applied mathematics and computer scie...
Athenes, May 12-16Usually, fuzzy systems approximate functions by covering their graphs with fuzzy p...
AbstractThis paper deals with the approximation behaviour of soft computing techniques. First, we gi...
A serious problem limiting the applicability of standard fuzzy controllers is the rule-explosion pro...
This paper deals with the approximation behaviour of soft computing techniques. First, we give a sur...
This paper deals with the approximation behaviour of soft computing techniques. First, we give a sur...
In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are...
AbstractIn this paper we propose an improvement in the field of fuzzy function approximation. It is ...
A fuzzy system can uniformly approximate any real continuous function on a compact domain to any deg...
The choice of fuzzy set functions affects how well fuzzy systems approximate functions. The most com...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
One of the reasons why fuzzy methodology is successful is that fuzzy systems are universal approxima...
A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the co...
A new fuzzy system containing a dynamic rule base is proposed in this paper. The novelty of the prop...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
The need of function approximations arises in many branches of applied mathematics and computer scie...
Athenes, May 12-16Usually, fuzzy systems approximate functions by covering their graphs with fuzzy p...
AbstractThis paper deals with the approximation behaviour of soft computing techniques. First, we gi...
A serious problem limiting the applicability of standard fuzzy controllers is the rule-explosion pro...
This paper deals with the approximation behaviour of soft computing techniques. First, we give a sur...
This paper deals with the approximation behaviour of soft computing techniques. First, we give a sur...
In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are...
AbstractIn this paper we propose an improvement in the field of fuzzy function approximation. It is ...