New Advances in Intelligent Decision Technologies

Results of the First KES International Symposium IDT 2009

  • Kazumi Nakamatsu
  • Gloria Phillips-Wren
  • Lakhmi C. Jain
  • Robert J. Howlett

Part of the Studies in Computational Intelligence book series (SCI, volume 199)

Table of contents

  1. Front Matter
  2. Harsa Amylia Mat Sakim, Nuryanti Mohd. Salleh, Nor Hayati Othman
    Pages 1-11
  3. Lidia Ogiela, Ryszard Tadeusiewicz, Marek R. Ogiela
    Pages 13-19
  4. Siu-Yeung Cho, Teik-Toe Teoh, Yok-Yen Nguwi
    Pages 21-29
  5. Luís Moniz Pereira, Han The Anh
    Pages 51-63
  6. Yusuke Koumoto, Hidetoshi Nonaka, Takuto Yanagida
    Pages 65-71
  7. Luís Moniz Pereira, Carroline Kencana Ramli
    Pages 85-95
  8. M. H. Korayem, M. Haghpanahi, H. N. Rahimi, A. Nikoobin
    Pages 117-126
  9. Luís Moniz Pereira, Alexandre Miguel Pinto
    Pages 139-149
  10. Kittisak Kerdprasop, Nittaya Kerdprasop
    Pages 151-159
  11. Roumen Kountchev, Roumiana Kountcheva
    Pages 171-182
  12. Mohammad Khazab, Jeffrey Tweedale, Lakhmi Jain
    Pages 183-191
  13. Jeffrey Tweedale, Lakhmi Jain
    Pages 193-202

About this book

Introduction

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system.

It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.

Keywords

Bayesian network Case-Based Reasoning Constraint Satisfaction Multi-agent system classification decision support system expert system information system knowledge management optimization proving robot simulation uncertainty visualization

Editors and affiliations

  • Kazumi Nakamatsu
    • 1
  • Gloria Phillips-Wren
    • 2
  • Lakhmi C. Jain
    • 3
  • Robert J. Howlett
    • 4
  1. 1.University of HyogoJapan
  2. 2.Loyola College in MarylandBaltimoreUSA
  3. 3.University of South AustraliaAdelaideAustralia
  4. 4.University of BrightonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00909-9
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-00908-2
  • Online ISBN 978-3-642-00909-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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