This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy rule bases. The classical inference methods of fuzzy systems deal with dense rule bases where the universe of discourse is fully covered. By applying spars
Fuzzy interpolative reasoning offers the potential to model problems using sparse rule bases, as opp...
AbstractFuzzy control is at present still the most important application of fuzzy theory. It is a ge...
Abstract-- A major issue in the field of fuzzy applications is the complexity of the algorithms used...
Fuzzy inference systems provide a simple yet effective solution to complex non-linear problems, whic...
International audienceThis paper proposes an approach to the interpolation between sparse fuzzy rule...
The concept of fuzzy rule interpolation in sparse rule bases was introduced in 1993. It has become a...
Systems applying fuzzy logic are rule based ones. The collection of the rules the so called rule bas...
International audienceSeveral approaches have been proposed in the last few years for interpolating ...
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
Fuzzy rule interpolation (FRI) offers a useful means for reducing the complexity of fuzzy models and...
AbstractThe problem of sparse fuzzy rule bases is introduced. Because of the high computational comp...
Several techniques have been proposed for making inferences using the information contained in an in...
Due to its high performance and comprehensibility, fuzzy modelling is becoming more and more popular...
Fuzzy rule interpolation (FRI) enables fuzzy inference systems to derive consequences when the obser...
The design of effective rule based systems is a main goal of development in fuzzy logic and systems....
Fuzzy interpolative reasoning offers the potential to model problems using sparse rule bases, as opp...
AbstractFuzzy control is at present still the most important application of fuzzy theory. It is a ge...
Abstract-- A major issue in the field of fuzzy applications is the complexity of the algorithms used...
Fuzzy inference systems provide a simple yet effective solution to complex non-linear problems, whic...
International audienceThis paper proposes an approach to the interpolation between sparse fuzzy rule...
The concept of fuzzy rule interpolation in sparse rule bases was introduced in 1993. It has become a...
Systems applying fuzzy logic are rule based ones. The collection of the rules the so called rule bas...
International audienceSeveral approaches have been proposed in the last few years for interpolating ...
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
Fuzzy rule interpolation (FRI) offers a useful means for reducing the complexity of fuzzy models and...
AbstractThe problem of sparse fuzzy rule bases is introduced. Because of the high computational comp...
Several techniques have been proposed for making inferences using the information contained in an in...
Due to its high performance and comprehensibility, fuzzy modelling is becoming more and more popular...
Fuzzy rule interpolation (FRI) enables fuzzy inference systems to derive consequences when the obser...
The design of effective rule based systems is a main goal of development in fuzzy logic and systems....
Fuzzy interpolative reasoning offers the potential to model problems using sparse rule bases, as opp...
AbstractFuzzy control is at present still the most important application of fuzzy theory. It is a ge...
Abstract-- A major issue in the field of fuzzy applications is the complexity of the algorithms used...
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