An adaption technique to SVD reduced rule bases

P. Baranyi, A. Várkonyi-Kóczy, Yeung Yam, P. Várlaki, Pál Michelberger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The practically non-universal approximation property, shown by Tikk et al. and the exponential complexity problem of widely adopted fuzzy logic techniques, shown by Kóczy and Hirota, reveal the contradictious features of fuzzy rule bases in pursuing of good approximation. As a result complexity reduction topic emerged in fuzzy theory. One of the natural disadvantages of using complexity reduction is that the adaptivity property of the reduced approximation becomes strictly restricted. This paper proposes a technique, to singular value decomposition (SVD) based reduction developed in [1,8,9], which may alleviate the adaptivity restriction. A high order tensor projection is proposed here as key idea.

Original languageEnglish
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
EditorsM.H. Smith, W.A. Gruver, L.O. Hall
Pages2488-2493
Number of pages6
Volume5
Publication statusPublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: Jul 25 2001Jul 28 2001

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period7/25/017/28/01

Fingerprint

Singular value decomposition
Fuzzy rules
Fuzzy logic
Tensors

ASJC Scopus subject areas

  • Computer Science(all)
  • Media Technology

Cite this

Baranyi, P., Várkonyi-Kóczy, A., Yam, Y., Várlaki, P., & Michelberger, P. (2001). An adaption technique to SVD reduced rule bases. In M. H. Smith, W. A. Gruver, & L. O. Hall (Eds.), Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (Vol. 5, pp. 2488-2493)

An adaption technique to SVD reduced rule bases. / Baranyi, P.; Várkonyi-Kóczy, A.; Yam, Yeung; Várlaki, P.; Michelberger, Pál.

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. ed. / M.H. Smith; W.A. Gruver; L.O. Hall. Vol. 5 2001. p. 2488-2493.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Baranyi, P, Várkonyi-Kóczy, A, Yam, Y, Várlaki, P & Michelberger, P 2001, An adaption technique to SVD reduced rule bases. in MH Smith, WA Gruver & LO Hall (eds), Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. vol. 5, pp. 2488-2493, Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, BC, Canada, 7/25/01.
Baranyi P, Várkonyi-Kóczy A, Yam Y, Várlaki P, Michelberger P. An adaption technique to SVD reduced rule bases. In Smith MH, Gruver WA, Hall LO, editors, Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. Vol. 5. 2001. p. 2488-2493
Baranyi, P. ; Várkonyi-Kóczy, A. ; Yam, Yeung ; Várlaki, P. ; Michelberger, Pál. / An adaption technique to SVD reduced rule bases. Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. editor / M.H. Smith ; W.A. Gruver ; L.O. Hall. Vol. 5 2001. pp. 2488-2493
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