Fuzzy Classifier Design

  • Ludmila I. Kuncheva

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 49)

Table of contents

  1. Front Matter
    Pages i-x
  2. Ludmila I. Kuncheva
    Pages 1-13
  3. Ludmila I. Kuncheva
    Pages 15-36
  4. Ludmila I. Kuncheva
    Pages 37-78
  5. Ludmila I. Kuncheva
    Pages 79-115
  6. Ludmila I. Kuncheva
    Pages 117-155
  7. Ludmila I. Kuncheva
    Pages 157-196
  8. Ludmila I. Kuncheva
    Pages 197-231
  9. Ludmila I. Kuncheva
    Pages 233-267
  10. Ludmila I. Kuncheva
    Pages 269-270
  11. Back Matter
    Pages 271-315

About this book


Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned. Both proponents and opponents consider the argu­ ments pointless because none of them would step back from their territory. And stiH, discussions burst out from a single sparkle like a conference pa­ per or a message on some fuzzy-mail newsgroup. Here is an excerpt from an e-mail messagepostedin1993tofuzzy-mail@vexpert. dbai. twvien. ac. at. by somebody who signed "Dave". , . . . Why then the "logic" in "fuzzy logic"? I don't think anyone has successfully used fuzzy sets for logical inference, nor do I think anyone wiH. In my admittedly neophyte opinion, "fuzzy logic" is a misnomer, an oxymoron. (1 would be delighted to be proven wrong on that. ) . . . I carne to the fuzzy literature with an open mind (and open wal­ let), high hopes and keen interest. I am very much disiHusioned with "fuzzy" per se, but I did happen across some extremely interesting things along the way. " Dave, thanks for the nice quote! Enthusiastic on the surface, are not many of us suspicious deep down? In some books and journals the word fuzzy is religiously avoided: fuzzy set theory is viewed as a second-hand cheap trick whose aim is nothing else but to devalue good classical theories and open up the way to lazy ignorants and newcomers.


algorithms classification fuzzy logic fuzzy set pattern recognition performance set theory

Authors and affiliations

  • Ludmila I. Kuncheva
    • 1
  1. 1.School of InformaticsUniversity of WalesBangor GwyneddUK

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2472-8
  • Online ISBN 978-3-7908-1850-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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