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Fuzzy Systems Design

Social and Engineering Applications

  • Book
  • © 1998

Overview

Editors:
  1. Leonid Reznik

    1. Department of Electrical and Electronic Engineering, Victoria University of Technology, Melbourne, Australia

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  2. Vladimir Dimitrov

    1. Centre for Research in Healthy Futures, University of Western Sydney, Richmond, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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  • The book tends to become a bridge between the engineering and social applications of fuzzy logic

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 17)

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Table of contents (19 chapters)

  1. Front Matter

    Pages I-XV
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  3. Fuzzy System Design for Social Applications

    1. Front Matter

      Pages 103-103
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    2. Fuzzy Logic as an Evocative Framework for Studying Social Systems

      • Robert Woog, Vladimir Dimitrov, Lesley Kuhn-White
      Pages 105-116

    3. Fuzzy Logic and the Management of Social Complexity

      • Vladimir Dimitrov, Kalevi Kopra
      Pages 117-131

    4. Using Fuzzy Sets to Extend Holland’s Theory of Occupational Interests

      • Michael Smithson, Beryl Hesketh
      Pages 132-152

    5. A Model for Fuzzy Personal Construct Psychology

      • Alastair Anderson
      Pages 153-170

    6. On the Topology of Uncertainty

      • Donald H. McNeil, Vladimir Dimitrov
      Pages 171-181

  4. Fuzzy System Design for Engineering Applications

    1. Front Matter

      Pages 183-183
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    2. Fuzzy Controller Design for Different Applications: Evolution, Methods, and Practical Recommendations

      • Leonid Reznik
      Pages 185-201

    3. Approximation of Transfer Functions by Various Fuzzy Controllers

      • L. T. Kóczy, D. Tikk
      Pages 202-224

    4. Fuzzy Performance Indicators for the Control of Manufacturing Processes

      • L. Berrah, G. Mauris, L. Foulloy, A. Haurat
      Pages 225-248

    5. Advanced Neuro-Fuzzy Engineering for Building Intelligent Adaptive Information Systems

      • Nikola K. Kasabov
      Pages 249-262

    6. Linguistic Variables in Surveys of Intentions to Purchase Energy Efficient Equipment

      • W. Mielczarski, G. Michalik, M. E. Khan
      Pages 263-286
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Keywords

About this book

Fuzzy logic is a way of thinking that is responsive to human zeal to unveil uncertainty and deal with social paradoxes emerging from it. In this book a number of articles illustrate various social applications to fuzzy logic. The engineering part of the book contains a number of papers, devoted to the description of fuzzy engineering design methodologies. In order to share the experience gained we select papers describing not the application result only but the way how this result has been obtained, that is explaining the design procedures. The potential readership of this book includes researchers and students, workers and engineers in both areas of social and engineering studies. It can be used as a handbook and textbook also. The book includes some examples of real fuzzy engineering.

Editors and Affiliations

  • Department of Electrical and Electronic Engineering, Victoria University of Technology, Melbourne, Australia

    Leonid Reznik

  • Centre for Research in Healthy Futures, University of Western Sydney, Richmond, Australia

    Vladimir Dimitrov

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

Bibliographic Information

  • Book Title: Fuzzy Systems Design

  • Book Subtitle: Social and Engineering Applications

  • Editors: Leonid Reznik, Vladimir Dimitrov, Janusz Kacprzyk

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1885-7

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1998

  • Softcover ISBN: 978-3-662-11811-5Published: 03 October 2013

  • eBook ISBN: 978-3-7908-1885-7Published: 29 June 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XV, 334

  • Number of Illustrations: 47 b/w illustrations

  • Topics: IT in Business, Social Sciences, general, Complexity, Artificial Intelligence

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