Computational Intelligence in Complex Decision Systems

  • Da Ruan

Part of the Atlantis Computational Intelligence Systems book series (ATLANTISCIS, volume 2)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Cengiz Kahraman, İhsan Kaya, Didem Çinar
    Pages 1-46
  3. Tiago C. Pais, Rita A. Ribeiro, Luís F. Simões
    Pages 47-66
  4. Liliane dos Santos Machado, Ronei Marcos de Moraes
    Pages 85-123
  5. Zhirui Lu, Jun Liu, Juan C. Augusto, Hui Wang
    Pages 125-146
  6. Guoli Zhang, Guangquan Zhang, Ya Gao, Jie Lu
    Pages 301-323
  7. Andres Muñoz, Juan A. Botía, Juan Carlos Augusto
    Pages 325-371
  8. Back Matter
    Pages 387-388

About this book


In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.


Virtual Reality artificial intelligence complex decision systems computational intelligence decision problem evolution evolutionary computation fuzzy logic genetic algorithms intelligence knowledge neural networks smart home uncertainty

Authors and affiliations

  • Da Ruan
    • 1
  1. 1.Belgian Nuclear Research Centre (SCK • CEN)Mol & Ghent UniversityGentBelgium

Bibliographic information

  • DOI
  • Copyright Information Atlantis Press and the authors 2010
  • Publisher Name Atlantis Press
  • eBook Packages Computer Science
  • Online ISBN 978-94-91216-29-9
  • Series Print ISSN 1875-7650
  • Buy this book on publisher's site
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