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Advanced inference in fuzzy systems by rule base compression

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Gegov, N.
Gobalakrishnan, N.
Document typeArticle
Defense date2007
PublisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base. As a result of this compression, the number of on-line operations during the fuzzy inference process is significantly reduced without compromising the solution. This rule base compression method outperforms significantly other known methods for fuzzy rule base reduction.
CitationGegov, N.; Gobalakrishnan, N. Advanced inference in fuzzy systems by rule base compression. "Mathware & Soft Computing", vol. 14, núm. 3, p. 201-216. 
URIhttp://hdl.handle.net/2099/11012
ISSN1134-5632
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  • Mathware & soft computing - 2007, Vol. XIV, núm. 3 [6]
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