Parameter identification in a fuzzy system with insufficient data

This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.

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Bibliographic Details
Main Author: Benmakrouha, F.
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Convergence
Data mining
Fuzzy sets
Fuzzy systems
Gradient methods
Industrial training
Parameter estimation
Partitioning algorithms
Online Access:Request full text
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Description
Summary:This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.
DOI:10.1109/FUZZY.1997.616424