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Fuzzy Classifier Design

  • Book
  • © 2000

Overview

Authors:
  1. Ludmila I. Kuncheva

    1. School of Informatics, University of Wales, Bangor Gwynedd, UK

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

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Ludmila I. Kuncheva
    Pages 1-13

  3. Statistical pattern recognition

    • Ludmila I. Kuncheva
    Pages 15-36

  4. Statistical classifiers

    • Ludmila I. Kuncheva
    Pages 37-78

  5. Fuzzy sets

    • Ludmila I. Kuncheva
    Pages 79-115

  6. Fuzzy if-then classifiers

    • Ludmila I. Kuncheva
    Pages 117-155

  7. Training of fuzzy if-then classifiers

    • Ludmila I. Kuncheva
    Pages 157-196

  8. Non if-then fuzzy models

    • Ludmila I. Kuncheva
    Pages 197-231

  9. Combinations of multiple classifiers using fuzzy sets

    • Ludmila I. Kuncheva
    Pages 233-267

  10. Conclusions: What to choose?

    • Ludmila I. Kuncheva
    Pages 269-270

  11. Back Matter

    Pages 271-315
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Keywords

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.

Authors and Affiliations

  • School of Informatics, University of Wales, Bangor Gwynedd, UK

    Ludmila I. Kuncheva

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