Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological evolution and molecular genetics. Fuzzy set theory and fuzzy logic have been proposed in order to provide some means for representing and manipulating imprecision and vagueness. In this paper genetic algorithms and fuzzy logic are combined in a uniform framework suitable for fuzzy classification. We discuss how a fuzzy classification methodology introduced in previous papers has been improved by becoming part of a genetic algorithm. The resulting genetic fuzzy classification technique shows increased sensitivity of solution, avoids the effect of fuzzy numbers grouping and allows for more effective search over solution space
Abstract. This paper discusses the application of generating fuzzy rules with word computing in gene...
Development of fuzzy if- then rules and formation of membership functions are the important consider...
Abstract—Fuzzy sets and fuzzy logic can be used for efficient data classification by fuzzy rules and...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
A fuzzy classifier system framework is proposed which employs a tree-based representation for fuzzy ...
In essence, data mining consists of extracting knowledge from data. This paper proposes a co-evoluti...
An approach based on multi-objective genetic algorithms is proposed to construct interpretable and p...
Several researchers have proposed methods about combination of Genetic Algorithm (GA) and Fuzzy Logi...
Abstract. In essence, data mining consists of extracting knowledge from data. This paper proposes a ...
This paper shows how a small number of fuzzy rules can be selected for designing interpretable fuzzy...
The purpose of this contribution is to deal with the integration of the genetic algorithms and the f...
Abstract. This paper discusses the application of generating fuzzy rules with word computing in gene...
Development of fuzzy if- then rules and formation of membership functions are the important consider...
Abstract—Fuzzy sets and fuzzy logic can be used for efficient data classification by fuzzy rules and...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
Genetic algorithms are powerful and robust heuristic adaptation procedures suggested by biological e...
A fuzzy classifier system framework is proposed which employs a tree-based representation for fuzzy ...
In essence, data mining consists of extracting knowledge from data. This paper proposes a co-evoluti...
An approach based on multi-objective genetic algorithms is proposed to construct interpretable and p...
Several researchers have proposed methods about combination of Genetic Algorithm (GA) and Fuzzy Logi...
Abstract. In essence, data mining consists of extracting knowledge from data. This paper proposes a ...
This paper shows how a small number of fuzzy rules can be selected for designing interpretable fuzzy...
The purpose of this contribution is to deal with the integration of the genetic algorithms and the f...
Abstract. This paper discusses the application of generating fuzzy rules with word computing in gene...
Development of fuzzy if- then rules and formation of membership functions are the important consider...
Abstract—Fuzzy sets and fuzzy logic can be used for efficient data classification by fuzzy rules and...
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