A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules.

A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules.

This paper presents a characteristic-point-based fuzzy inference system (CPFIS) for fuzzy modeling from training data. The aim of the CPFIS is not only satisfactory precision performance, but also to employ as few purely linguistic fuzzy rules as possible by using a minimization-based systematic tra...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 12, 2 (2004).
Autor Principal: Tang-Kai Yin
Formato: Artigo
Idioma:English
Subjects:
Gauss-Jordan elimination.
Gaussian membership functions.
Back propagation.
Column elimination.
Fuzzy inference system.
Fuzzy modeling.
Fuzzy sets.
Gradient-projection method.
Human-computer cooperation.
Knowledge discovery.
Linguistic fuzzy rules.
Minimization-based algorithms.
Training data.