Foundations of Computational Intelligence Volume 2

Approximate Reasoning

  • Aboul-Ella Hassanien
  • Ajith Abraham
  • Francisco Herrera

Part of the Studies in Computational Intelligence book series (SCI, volume 202)

Table of contents

  1. Front Matter
  2. Approximate Reasoning - Theoretical Foundations and Applications

    1. Front Matter
      Pages 1-1
    2. Approximate Reasoning - Theoretical Foundations

  3. Approximate Reasoning - Success Stories and Real World Applications

    1. Front Matter
      Pages 109-109
    2. Tanja Magoč, François Modave, Martine Ceberio, Vladik Kreinovich
      Pages 133-173
    3. Chrysostomos Chrysostomou, Andreas Pitsillides
      Pages 197-236
    4. Abdelhamid Bouchachia
      Pages 237-258
    5. Wenxin Jiang, Alicja Wieczorkowska, Zbigniew W. Raś
      Pages 259-273
    6. El-Sayed A. El-Dahshan, Aboul Ella Hassanien, Amr Radi, Soumya Banerjee
      Pages 275-293
    7. Huiyu Zhou, Gerald Schaefer
      Pages 295-310
  4. Back Matter

About this book


Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on theory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for approximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations and Part-II: Approximate Reasoning – Success Stories and Real World Applications.


Approximate Reasoning algorithm algorithms computational intelligence fuzzy fuzzy set fuzzy sets intelligence modeling

Editors and affiliations

  • Aboul-Ella Hassanien
    • 1
  • Ajith Abraham
    • 2
  • Francisco Herrera
    • 3
  1. 1.Faculty of Computers and Information Information Technology DepartmentCairo UniversityOrman, Giza
  2. 2.Machine Intelligence Research Labs (MIR Labs)Scientific Network for Innovation and Research ExcellenceAuburn,WashingtonUSA
  3. 3.Soft Computing and Intelligent Information Systems Department of Computer Science and Artificial Intelligence ETS de Ingenierias Informática y de TelecomunicaciónUniversity of GranadaGranadaSpain

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-01532-8
  • Online ISBN 978-3-642-01533-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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