Add to ORKGMost existing universal approximation results for fuzzy systems are based on the assumption that we use t-conorms and t-conorms to represent and and or . Yager has proposed to use, within the fuzzy system modeling paradigm, more general operations based on uninorms. In this paper, we show that the universal approximation property holds for an arbitrary choice of a uninorm
Three universal approximation formulas given by so called disjunctive, conjunctive and additive norm...
Uninorms are an important general-ization of triangular norms and tri-angular conorms. Uninorms allo...
Abstract—Recent studies have shown that both Mamdani-type and Takagi-Sugeno-type fuzzy systems are u...
This paper proves, in a constructive manner, that the general n-dimensional hierarchical fuzzy syste...
It is known that fuzzy systems have a universal approximation property. A natural question is: can t...
Fuzzy neural networks are hybrid models capable to approximate functions with high precision and to ...
In this work, we show that fuzzy inference systems (FIS) based on similarity-based reasoning (SBR), ...
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...
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...
One of the reasons why fuzzy methodology is successful is that fuzzy systems are universal approxima...
In many real-life situations, we do not know the actual dependence y = f(x1, ..., xn) between the ph...
Many researches have been interested in the approximation properties of Fuzzy Logic Systems (FLS), w...
There are two main fuzzy system methodologies for translating expert rules into a logical formula: I...
Three universal approximation formulas given by so called disjunctive, conjunctive and additive norm...
Uninorms are an important general-ization of triangular norms and tri-angular conorms. Uninorms allo...
Abstract—Recent studies have shown that both Mamdani-type and Takagi-Sugeno-type fuzzy systems are u...
This paper proves, in a constructive manner, that the general n-dimensional hierarchical fuzzy syste...
It is known that fuzzy systems have a universal approximation property. A natural question is: can t...
Fuzzy neural networks are hybrid models capable to approximate functions with high precision and to ...
In this work, we show that fuzzy inference systems (FIS) based on similarity-based reasoning (SBR), ...
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...
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...
One of the reasons why fuzzy methodology is successful is that fuzzy systems are universal approxima...
In many real-life situations, we do not know the actual dependence y = f(x1, ..., xn) between the ph...
Many researches have been interested in the approximation properties of Fuzzy Logic Systems (FLS), w...
There are two main fuzzy system methodologies for translating expert rules into a logical formula: I...
Three universal approximation formulas given by so called disjunctive, conjunctive and additive norm...
Uninorms are an important general-ization of triangular norms and tri-angular conorms. Uninorms allo...
Abstract—Recent studies have shown that both Mamdani-type and Takagi-Sugeno-type fuzzy systems are u...