Modeling Uncertainty with Fuzzy Logic

With Recent Theory and Applications

  • Asli Celikyilmaz
  • I. Burhan Türksen

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 240)

Table of contents

  1. Front Matter
  2. Asli Celikyilmaz, I. Burhan Türksen
    Pages 1-10
  3. Asli Celikyilmaz, I. Burhan Türksen
    Pages 11-50
  4. Asli Celikyilmaz, I. Burhan Türksen
    Pages 51-104
  5. Asli Celikyilmaz, I. Burhan Türksen
    Pages 105-147
  6. Asli Celikyilmaz, I. Burhan Türksen
    Pages 149-215
  7. Asli Celikyilmaz, I. Burhan Türksen
    Pages 217-304
  8. Asli Celikyilmaz, I. Burhan Türksen
    Pages 305-311
  9. Back Matter

About this book


The objective of this book is to present an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". Since most researchers on fuzzy systems are more familiar with the standard fuzzy rule bases and their inference system structures, many standard tools of fuzzy system modeling approaches are reviewed to demonstrate the novelty of the structurally different fuzzy functions, before we introduced the new methodologies. To make the discussions more accessible, no special fuzzy logic and system modeling knowledge is assumed. Therefore, the book itself may be a reference for some related methodologies to most researchers on fuzzy systems analyses. For those readers, who have knowledge of essential fuzzy theories, Chapter 1, 2 should be treated as a review material. Advanced readers ought to be able to read chapters 3, 4 and 5 directly, where proposed methods are presented. Chapter 6 demonstrates experiments conducted on various datasets.


Fuzziness Fuzzy Functions Fuzzy Logic Modelling Uncertainty Type-2 Fuzzy Functions fuzzy sets fuzzy system knowledge model modeling

Authors and affiliations

  • Asli Celikyilmaz
    • 1
  • I. Burhan Türksen
    • 2
  1. 1.BISC - The Berkeley Initiative in Soft Computing Electrical Eng. and Computer Sciences DepartmentUniversity of California, BerkeleyBerkeleyUSA
  2. 2.Mechanical & Industrial EngineeringUniversity of Toronto TorontoCanada

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-89923-5
  • Online ISBN 978-3-540-89924-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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