An enhanced approach to rule base simplification of first-order takagi-sugeno fuzzy inference systems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the data. In this paper, an enhanced approach is proposed for simplifying the rule base of fuzzy inference systems when all the membership functions for a variable are highly similar to one another. In this case it is possible to remove a variable from the rule antecedent, but keep it in the rule consequent. Experimental results show that simpler rules can be obtained while barely sacrificing accuracy.

Originele taal-2Engels
TitelAdvances in Fuzzy Logic and Technology 2017
SubtitelProceedings of: EUSFLAT- 2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN’2017 – The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland
RedacteurenJ. Kacprzyk , E. Szmidt , S. Zadrożny , K.T. Atanassov, M. Krawczak
Plaats van productieDordrecht
UitgeverijSpringer
Pagina's92-103
Aantal pagina's12
Volume2
ISBN van elektronische versie978-3-319-66824-6
ISBN van geprinte versie978-3-319-66823-9
DOI's
StatusGepubliceerd - 2018
Evenement4th Annual Symposium on Combinatorial Pattern Matching (CPM1993), June 2-4, 1993, Padova, Italy - Padova, Italië
Duur: 2 jun 19934 jun 1993

Publicatie series

NaamAdvances in Intelligent Systems and Computing
Volume642
ISSN van geprinte versie2194-5357

Congres

Congres4th Annual Symposium on Combinatorial Pattern Matching (CPM1993), June 2-4, 1993, Padova, Italy
Verkorte titelCPM 1993
LandItalië
StadPadova
Periode2/06/934/06/93

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