Abstract: Inference mechanisms and interpretations of fuzzy rule bases are studied together from the point of view of systems of fuzzy relation equations. A proper use of an inference mechanism connected to a fuzzy relation interpreting a fuzzy rule base is certified by keeping the fundamental interpolation condition. The paper aims at new solutions of systems of fuzzy relation equations which are motivated by several fuzzy approximation methods. The study of this new solutions yields new solvability criteria which are introduced
A generic fuzzy relation often requires too many parameters to represent -- especially when we have ...
Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning. It views in...
International audienceThe article presents a set of inference rules describing the properties of fuz...
Some aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based expert ...
AbstractSome aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based...
Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate ...
Abstract—A generic fuzzy relation often requires too many parameters to represent – especially when ...
This contribution is aimed at provide the reader with the comprehensive view on problems of approxim...
It is well known that a fuzzy rule base can be interpreted in different ways. From a logical point o...
We give a wide overview on the applications of fuzzy relation equations theory to decision-making pr...
[[abstract]]Most fuzzy classification systems proposed before applied a crisp-cut approach on the fu...
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
In this work, we show that fuzzy inference systems based on Fuzzy Relational Inference (FRI) with im...
This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy ru...
A generic fuzzy relation often requires too many parameters to represent -- especially when we have ...
Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning. It views in...
International audienceThe article presents a set of inference rules describing the properties of fuz...
Some aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based expert ...
AbstractSome aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based...
Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate ...
Abstract—A generic fuzzy relation often requires too many parameters to represent – especially when ...
This contribution is aimed at provide the reader with the comprehensive view on problems of approxim...
It is well known that a fuzzy rule base can be interpreted in different ways. From a logical point o...
We give a wide overview on the applications of fuzzy relation equations theory to decision-making pr...
[[abstract]]Most fuzzy classification systems proposed before applied a crisp-cut approach on the fu...
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
In this work, we show that fuzzy inference systems based on Fuzzy Relational Inference (FRI) with im...
This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy ru...
A generic fuzzy relation often requires too many parameters to represent -- especially when we have ...
Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning. It views in...
International audienceThe article presents a set of inference rules describing the properties of fuz...