Fuzzy Logic

A Spectrum of Theoretical & Practical Issues

  • Paul P. Wang
  • Da Ruan
  • Etienne E. Kerre

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 215)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Paul P. Wang, Da Ruan, Etienne E. Kerre
    Pages 1-13
  3. Ana Pradera, Enric Trillas, Sergio Guadarrama, Eloy Renedo
    Pages 15-47
  4. János Fodor, Bernard De Baets
    Pages 49-64
  5. Zhong Li, Xu Zhang
    Pages 79-97
  6. Ibrahim Ozkan, I.B. Turksen
    Pages 99-112
  7. Mustapha Baziz, Mohand Boughanem, Yannick Loiseau, Henri Prade
    Pages 193-218
  8. Bernadette Bouchon-Meunier, Marcin Detyniecki, Marie-Jeanne Lesot, Christophe Marsala, Maria Rifqi
    Pages 219-247
  9. Yingjun Cao, Paul P. Wang, Alade Tokuta
    Pages 247-281
  10. Jorge S. Benítez-Read, J. Humberto Pérez-Cruz, Da Ruan
    Pages 299-315
  11. Javier Montero, Victoria López, Daniel Gómez
    Pages 337-349
  12. Guangquan Zhang, Jie Lu, Tharam Dillon
    Pages 351-379
  13. Jeffrey D. Warren, Robert V. Demicco, Louis R. Bartek
    Pages 381-430
  14. André Maïsseu, Benoît Maïsseu
    Pages 431-455

About this book

Introduction

This book exclusively surveys the active on-going research of the current maturity of fuzzy logic over the last four decades. Many world leaders of fuzzy logic have enthusiastically contributed their best research results into five theoretical, philosophical and fundamental sub areas and nine distinctive applications, including two PhD dissertations from two world class universities dealing with cutting-edge research areas of bioinformatics and geological science. Beyond the scope of survey and collection of the book, one important spin off is the emerging and recognition of a major scientific paradigm shift from the conventional mathematics to the mathematics of uncertainty, which arguably holds the key to solving very difficult and complex problems in biological and social sciences alike. The book, loaded with historical perspective, creative thinking, critical reviewing, and uniquely constructed strategy for future growth of this dynamic research area, is an invaluable resource for active researchers at all levels, university administrators, foundation directors, funding agency program chiefs, research & development planners and technological assessors.

Keywords

algorithms chaos classification control data mining fuzziness fuzzy fuzzy logic genetic algorithms heuristics mathematical modeling modeling ontology optimization semantics

Editors and affiliations

  • Paul P. Wang
    • 1
  • Da Ruan
    • 2
  • Etienne E. Kerre
    • 3
  1. 1.Department of Electrical & Computer EngineeringPratt School of Engineering Duke University27708 DurhamUSA
  2. 2.The Belgian Nuclear Research Centre (SCK ·CEN)Boeretang 200Belgium
  3. 3.Department of Applied Mathematics & Computer ScienceGhent UniversityKrijgslaan 281 (S9)Belgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71258-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-71257-2
  • Online ISBN 978-3-540-71258-9
  • Series Print ISSN 1434-9922
  • About this book