Intelligent Decision Technologies

Proceedings of the 3rd International Conference on Intelligent Decision Technologies (IDT’ 2011)

  • Junzo Watada
  • Gloria Phillips-Wren
  • Lakhmi C. Jain
  • Robert J. Howlett

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)

Table of contents

  1. Front Matter
  2. Modeling and Method of Decision Making

    1. Front Matter
      Pages 1-1
    2. Xuping Wang, Junhu Ruan, Hongyan Shang, Chao Ma
      Pages 3-12
    3. Jianming Li, Renping Lv, Xiangpei Hu, Zhongqiang Jiang
      Pages 37-46
    4. Mei-Chen Lo, Min-Hsien Yang, Chien-Tzu Tsai, Aleksey V. Pugovkin, Gwo-Hshiung Tzeng
      Pages 47-56
    5. Ágnes Bogárdi-Mészöly, András Rövid, Péter Földesi
      Pages 65-73
    6. Chun-Chun Wei, Min-Yuan Ma, Yang-Cheng Lin
      Pages 85-94
    7. Nikos Karacapilidis, Stefan Rüping, Manolis Tzagarakis, Axel Poigné, Spyros Christodoulou
      Pages 113-122
    8. Chi-Yo Huang, Wei-Chang Tzeng, Gwo-Hshiung Tzeng, Ming-Cheng Yuan
      Pages 123-134
    9. Isidoros Perikos, Foteini Grivokostopoulou, Ioannis Hatzilygeroudis, Konstantinos Kovas
      Pages 135-144
    10. Alina Chiroşcă, George Dumitraşcu, Marian Barbu, Sergiu Caraman
      Pages 155-163
    11. Péter Földesi, János Botzheim
      Pages 165-174

About these proceedings


Intelligent Decision Technologies (IDT) 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. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International.

The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.


Artificial Neural Networks Expert Systems Fuzzy Logic Genetic Algorithms Geographic Information Systems Information Retrieval Systems Intelligent Agents Intelligent Decision Making Intellingent Decision Systems Knowledge Management Systems Multi-Agent Systems

Editors and affiliations

  • Junzo Watada
    • 1
  • Gloria Phillips-Wren
    • 2
  • Lakhmi C. Jain
    • 3
  • Robert J. Howlett
    • 4
  1. 1.Graduate School of Information, Production and Systems (IPS)Waseda UniversityFukuokaJapan
  2. 2.Sellinger School of Business and ManagementLoyola University MarylandBaltimoreUSA
  3. 3.School of Electrical and Information EngineeringUniversity of South AustraliaSouth AustraliaAustralia
  4. 4.KES InternationalUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-22193-4
  • Online ISBN 978-3-642-22194-1
  • Series Print ISSN 2190-3018
  • Series Online ISSN 2190-3026
  • About this book