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Adaptation of SVD Based Fuzzy Reduction via Minimal Expansion

CímAdaptation of SVD Based Fuzzy Reduction via Minimal Expansion
Közlemény típusaJournal Article
Kiadás éve2002
SzerzőkBaranyi, P., and A. Várkonyi-Kóczy
FolyóiratIEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Évfolyam51
Kötet2
Oldalszám222 - 226
Kiadás dátuma2002
Kiadás nyelveeng
Összefoglalás

Most adopted fuzzy inference techniques do not hold the universal approximation property if the numbers of antecedent sets are limited. This fact and the exponential complexity problem of widely adopted fuzzy logic techniques show the contradictory features of fuzzy rule bases in pursuit of good approximation. As a result, complexity reduction emerged in fuzzy theory. The natural disadvantage of using complexity reduction is that the adaptivity property of the reduced approximation becomes highly restricted. This paper proposes a technique for singular value decomposition (SVD) based reduction developed in [1], which may alleviate the adaptivity restriction.
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