Intelligent Decision Making: An AI-Based Approach

  • Gloria Phillips-Wren
  • Nikhil Ichalkaranje
  • Lakhmi C. Jain

Part of the Studies in Computational Intelligence book series (SCI, volume 97)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Background: Human Decision Making

  3. Methods: Computational Intelligence

    1. Witold Pedrycz, Nikhil Ichalkaranje, Gloria Phillips-Wren, Lakhmi C. Jain
      Pages 79-96
    2. Daniel I. Thomas, Ljubo B. Vlacic
      Pages 97-133
    3. Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai
      Pages 135-155
    4. Guangquan Zhang, Jie Lu, Tharam Dillon
      Pages 157-171
    5. Guy Camilleri, Jean-Luc Soubie, Pascale Zarate
      Pages 173-192
  4. Applications: Intelligent Decision Support

  5. Back Matter
    Pages 409-410

About this book


Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology.  Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker.  At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications.  This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.


artificial intelligence communication complexity computational intelligence decision support decision support system expert system fuzzy heuristics intelligence knowledge modeling neural networks simulation uncertainty

Editors and affiliations

  • Gloria Phillips-Wren
    • 1
  • Nikhil Ichalkaranje
    • 2
  • Lakhmi C. Jain
    • 2
  1. 1.Loyola College in MarylandBaltimoreUSA
  2. 2.University of South AustraliaAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-76828-9
  • Online ISBN 978-3-540-76829-6
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site
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