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Handbook on Decision Making

Vol 1: Techniques and Applications

  • Lakhmi C. Jain
  • Chee Peng Lim

Part of the Intelligent Systems Reference Library book series (ISRL, volume 4)

Table of contents

  1. Front Matter
  2. Modelling and Design Techniques for Intelligent Decision Support Systems

    1. Front Matter
      Pages 1-1
    2. Chee Peng Lim, Lakhmi C. Jain
      Pages 3-28
    3. M. Mora, G. Forgionne, F. Cervantes-Pérez, O. Gelman
      Pages 29-53
    4. Yung-chin Hsiao, Junzo Watada
      Pages 55-84
    5. Antonio Fernández-Caballero, Marina V. Sokolova
      Pages 117-142
    6. Tuan Zea Tan, Geok See Ng, Chai Quek
      Pages 163-179
    7. Ana Corberán-Vallet, José D. Bermúdez, José V. Segura, Enriqueta Vercher
      Pages 181-204
    8. Lei Zheng, Siu-Yeung Cho, Chai Quek
      Pages 205-232
  3. Reviews and Applications of Intelligent Decision Support Systems

    1. Front Matter
      Pages 247-247
    2. Sigurjón Arason, Eyjólfur Ingi Ásgeirsson, Björn Margeirsson, Sveinn Margeirsson, Petter Olsen, Hlynur Stefánsson
      Pages 295-315
    3. Joshua Ignatius, Seyyed Mahdi Hosseini Motlagh, M. Mehdi Sepheri, Young-Jou Lai, Adli Mustafa
      Pages 347-367
    4. Pari Jahankani, Vassilis Kodogiannis, John Lygouras
      Pages 453-471
  4. Erratum

    1. Joshua Ignatius, Seyyed Mahdi Hosseini Motlagh, M. Mehdi Sepheri, Young-Jou Lai, Adli Mustafa
      Pages E1-E1
  5. Back Matter

About this book

Introduction

Decision making is a multi-faceted and challenging, yet important task. A decision maker normally has to take into consideration a number of alternatives, which often conflict with one another, before reaching a good decision. To cope with the challenges of decision making, decision support systems have been developed to provide assistance in human decision making processes. The key to decision support systems is to collect information/data, analyse the information/data collected, and subsequently make quality and informed decisions. In this aspect, intelligent reasoning and learning techniques have emerged as a powerful approach to solving real-world decision making problems. The main aim of this research handbook is to present a small fraction of techniques stemmed from artificial intelligence, as well as other complementary methodologies, that are useful for developing intelligent decision support systems. In addition, application examples on how the intelligent decision support systems can be deployed to undertake decision making problems in a variety of domains are presented. Among the topics covered in this book include • modelling and design of intelligent decision support systems • artificial neural networks, genetic algorithm, and fuzzy systems for intelligent decision making • case based reasoning and agent-based systems for intelligent decision making • application of intelligent decision support systems to business, management, manufacturing, engineering, biomedicine, transportation and food industries.

Keywords

Transport agents artificial intelligence artificial neural network case-based reasoning development fuzzy learning management model modeling neural network systems engineering

Editors and affiliations

  • Lakhmi C. Jain
    • 1
  • Chee Peng Lim
    • 2
  1. 1.University of South AustraliaAdelaideAustralia
  2. 2.University of Science MalaysiaMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13639-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-13638-2
  • Online ISBN 978-3-642-13639-9
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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