Add to ORKGAbstract: This paper describes the main ideas used in the development of a fuzzy classifier system which induces fuzzy hypotheses from a set of examples described by fuzzy real numbers and an associated crisp class. It presents and discusses some results obtained using a prototype system. I
This paper illustrated an evolutionary algorithm which learns classifiers, represented as sets of f...
This report describes the fuzzy classifier system and a new payoff distribution scheme that performs...
Many real-world problems require the development and appli-cation of algorithms that automatically g...
Abstract. Inductive learning systems are designed to induce hypothesis, or general descriptions of c...
The issue of rule generalization has received a great deal of attention in the discrete-valued learn...
We present a class of Learning Classifier Systems that learn fuzzy rule-based models, instead of int...
Fuzzy Classifier Systems (FCS) implement a mapping from real numbers to real numbers, through fuzzy ...
Several issues arise when we consider building classifiers in general, and fuzzy classifiers in part...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
This paper addresses the issues in developing a fuzzy system for multiple classifier fusion. The pro...
Abstract. In this paper, we propose a new classifier design based on fuzzy clustering approaches via...
[[abstract]]A classifier system is a machine learning system that learns syntactically simple string...
The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classi...
In this work we discuss an approach for deriving fuzzy classifier models directly from data. The aim...
A fuzzy classifier system framework is proposed which employs a tree-based representation for fuzzy ...
This paper illustrated an evolutionary algorithm which learns classifiers, represented as sets of f...
This report describes the fuzzy classifier system and a new payoff distribution scheme that performs...
Many real-world problems require the development and appli-cation of algorithms that automatically g...
Abstract. Inductive learning systems are designed to induce hypothesis, or general descriptions of c...
The issue of rule generalization has received a great deal of attention in the discrete-valued learn...
We present a class of Learning Classifier Systems that learn fuzzy rule-based models, instead of int...
Fuzzy Classifier Systems (FCS) implement a mapping from real numbers to real numbers, through fuzzy ...
Several issues arise when we consider building classifiers in general, and fuzzy classifiers in part...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
This paper addresses the issues in developing a fuzzy system for multiple classifier fusion. The pro...
Abstract. In this paper, we propose a new classifier design based on fuzzy clustering approaches via...
[[abstract]]A classifier system is a machine learning system that learns syntactically simple string...
The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classi...
In this work we discuss an approach for deriving fuzzy classifier models directly from data. The aim...
A fuzzy classifier system framework is proposed which employs a tree-based representation for fuzzy ...
This paper illustrated an evolutionary algorithm which learns classifiers, represented as sets of f...
This report describes the fuzzy classifier system and a new payoff distribution scheme that performs...
Many real-world problems require the development and appli-cation of algorithms that automatically g...