Add to ORKGThree universal approximation formulas given by so called disjunctive, conjunctive and additive normal forms are recalled. Properties and relations between all three formulas are studied. The quality of approximation is shown and the role of genetic algorithms in the field of fuzzy approximation is explained
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
Abstract When a flexible fuzzy rule structure such as those with antecedent in conjunctive normal fo...
How to approximate an arbitrary fuzzy subset by an adequate extensional one is a key question within...
There are two main fuzzy system methodologies for translating expert rules into a logical formula: I...
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...
Abstract—In this contribution, an implicative variant of the conjunctive normal form will be recalle...
A fuzzy approximation method called fuzzy transforms for approximation of continuous function is pre...
Abstract—In this contribution, a notion of the implicative normal form will be recalled and further ...
This paper provides a brief survey of normal forms and results in this area. Moreover, it defines a ...
This paper proves, in a constructive manner, that the general n-dimensional hierarchical fuzzy syste...
In this work, we show that fuzzy inference systems (FIS) based on similarity-based reasoning (SBR), ...
Most existing universal approximation results for fuzzy systems are based on the assumption that we ...
Fuzzy rule-based systems are universal approximators of non-linear functions [1] as multilayer feedf...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
Abstract When a flexible fuzzy rule structure such as those with antecedent in conjunctive normal fo...
How to approximate an arbitrary fuzzy subset by an adequate extensional one is a key question within...
There are two main fuzzy system methodologies for translating expert rules into a logical formula: I...
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...
Abstract—In this contribution, an implicative variant of the conjunctive normal form will be recalle...
A fuzzy approximation method called fuzzy transforms for approximation of continuous function is pre...
Abstract—In this contribution, a notion of the implicative normal form will be recalled and further ...
This paper provides a brief survey of normal forms and results in this area. Moreover, it defines a ...
This paper proves, in a constructive manner, that the general n-dimensional hierarchical fuzzy syste...
In this work, we show that fuzzy inference systems (FIS) based on similarity-based reasoning (SBR), ...
Most existing universal approximation results for fuzzy systems are based on the assumption that we ...
Fuzzy rule-based systems are universal approximators of non-linear functions [1] as multilayer feedf...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
Abstract When a flexible fuzzy rule structure such as those with antecedent in conjunctive normal fo...
How to approximate an arbitrary fuzzy subset by an adequate extensional one is a key question within...