Add to ORKGAbstract:- In this paper we present a set of heuristic criteria devised to address the problems encountered in designing a fuzzy system to fit a set of input-output data. The objective is to obtain in a simple and fast manner a good starting model to undergo further refinements. The result is a simple algorithm with a similar performance than other techniques but with a low computational cost. Key-Words:- fuzzy curves, fuzzy modeling, intelligible approach, clustering
[[abstract]]In this paper, a clustering-based method is proposed for automatically constructing a mu...
In this paper we propose a generic methodology for the automated generation of fuzzy models. The met...
Abstract—Fuzzy modeling of high-dimensional systems is a challenging topic. This paper proposes an e...
Fuzzy logic has been applied successfully to systems modeling for ages. One of its main advantages i...
Abstract: Fuzzy rules have a simple structure within a multidimensional vector space and they are pr...
Abstract: This paper introduces a new method for fuzzy modeling based on set of input-output data pa...
Abstract — This paper presents different approaches to the problem of fuzzy rules extraction by usin...
In this paper, we propose a fast feature selection technique for clustering-based fuzzy modeling. Th...
To build a fuzzy model, as proposed by Takagi and Sugeno (1985), the authors emphasize an interactiv...
[[abstract]]In this paper, a hybrid clustering and gradient descent approach is proposed for automat...
AbstractWe present different techniques of fuzzy rule generation using the information we can obtain...
[[abstract]]In this paper, a clustering-based algorithm is proposed for automatically constructing a...
ABSTRACT: The lesson will begin with the basics of fuzzy set theory. Fuzzy set theory was first intr...
In this Chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model d...
Building appriopriate system models is an important aspect in the analysis and design of complex sys...
[[abstract]]In this paper, a clustering-based method is proposed for automatically constructing a mu...
In this paper we propose a generic methodology for the automated generation of fuzzy models. The met...
Abstract—Fuzzy modeling of high-dimensional systems is a challenging topic. This paper proposes an e...
Fuzzy logic has been applied successfully to systems modeling for ages. One of its main advantages i...
Abstract: Fuzzy rules have a simple structure within a multidimensional vector space and they are pr...
Abstract: This paper introduces a new method for fuzzy modeling based on set of input-output data pa...
Abstract — This paper presents different approaches to the problem of fuzzy rules extraction by usin...
In this paper, we propose a fast feature selection technique for clustering-based fuzzy modeling. Th...
To build a fuzzy model, as proposed by Takagi and Sugeno (1985), the authors emphasize an interactiv...
[[abstract]]In this paper, a hybrid clustering and gradient descent approach is proposed for automat...
AbstractWe present different techniques of fuzzy rule generation using the information we can obtain...
[[abstract]]In this paper, a clustering-based algorithm is proposed for automatically constructing a...
ABSTRACT: The lesson will begin with the basics of fuzzy set theory. Fuzzy set theory was first intr...
In this Chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model d...
Building appriopriate system models is an important aspect in the analysis and design of complex sys...
[[abstract]]In this paper, a clustering-based method is proposed for automatically constructing a mu...
In this paper we propose a generic methodology for the automated generation of fuzzy models. The met...
Abstract—Fuzzy modeling of high-dimensional systems is a challenging topic. This paper proposes an e...