International audienceThis paper proposes an approach to the interpolation between sparse fuzzy rules, founded on a unique principle which supplements the classical approximate reasoning machinery. The case of rules of the form A/spl rarr/B, where A and B are intervals is first discussed, and then extended to fuzzy sets
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
In support of reasoning with sparse rule bases, fuzzy rule interpolation (FRI) offers a helpful infe...
Interpolative reasoning methods is a reasoning technique that is designed to deal with reasoning in ...
International audienceThis paper proposes an approach to the interpolation between sparse fuzzy rule...
AbstractIn sparse fuzzy rule bases, conventional fuzzy reasoning methods cannot reach a proper concl...
International audienceSeveral approaches have been proposed in the last few years for interpolating ...
The concept of fuzzy rule interpolation in sparse rule bases was introduced in 1993. It has become a...
Several techniques have been proposed for making inferences using the information contained in an in...
Fuzzy rule interpolation enables fuzzy inference with sparse rule bases by interpolating inference r...
This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy ru...
AbstractThe problem of sparse fuzzy rule bases is introduced. Because of the high computational comp...
[[sponsorship]]資訊科學研究所,資訊科技創新研究中心[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com...
Fuzzy rule interpolation (FRI) offers a useful means for reducing the complexity of fuzzy models and...
Fuzzy inference systems provide a simple yet effective solution to complex non-linear problems, whic...
Systems applying fuzzy logic are rule based ones. The collection of the rules the so called rule bas...
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
In support of reasoning with sparse rule bases, fuzzy rule interpolation (FRI) offers a helpful infe...
Interpolative reasoning methods is a reasoning technique that is designed to deal with reasoning in ...
International audienceThis paper proposes an approach to the interpolation between sparse fuzzy rule...
AbstractIn sparse fuzzy rule bases, conventional fuzzy reasoning methods cannot reach a proper concl...
International audienceSeveral approaches have been proposed in the last few years for interpolating ...
The concept of fuzzy rule interpolation in sparse rule bases was introduced in 1993. It has become a...
Several techniques have been proposed for making inferences using the information contained in an in...
Fuzzy rule interpolation enables fuzzy inference with sparse rule bases by interpolating inference r...
This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy ru...
AbstractThe problem of sparse fuzzy rule bases is introduced. Because of the high computational comp...
[[sponsorship]]資訊科學研究所,資訊科技創新研究中心[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com...
Fuzzy rule interpolation (FRI) offers a useful means for reducing the complexity of fuzzy models and...
Fuzzy inference systems provide a simple yet effective solution to complex non-linear problems, whic...
Systems applying fuzzy logic are rule based ones. The collection of the rules the so called rule bas...
Abstract: Fuzzy systems based on sparse rule bases produce the conclusion through approximation. Thi...
In support of reasoning with sparse rule bases, fuzzy rule interpolation (FRI) offers a helpful infe...
Interpolative reasoning methods is a reasoning technique that is designed to deal with reasoning in ...