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Handbook on Decision Making

Vol 1: Techniques and Applications

  • Book
  • © 2010

Overview

Editors:
  1. Lakhmi C. Jain

    1. University of South Australia, Adelaide, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Chee Peng Lim

    1. University of Science Malaysia, Malaysia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Techniques and applications of intelligent decision making
  • includes a variety of real-world problems in different domains, such as business, management, manufacturing, transportation and food industries, and biomedicine
  • Most recent research on Decision Making
  • Written by experts in the field

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

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Table of contents (21 chapters)

  1. Front Matter

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  2. Modelling and Design Techniques for Intelligent Decision Support Systems

    1. Front Matter

      Pages 1-1
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    2. Advances in Intelligent Decision Making

      • Chee Peng Lim, Lakhmi C. Jain
      Pages 3-28

    3. IDSSE-M: Intelligent Decision Support Systems Engineering Methodology

      • M. Mora, G. Forgionne, F. Cervantes-Pérez, O. Gelman
      Pages 29-53

    4. Shape Design of Products Based on a Decision Support System

      • Yung-chin Hsiao, Junzo Watada
      Pages 55-84

    5. Enhancing Decision Support System with Neural Fuzzy Model and Simple Model Visualizations

      • Eng Yeow Cheu, See Kiong Ng, Chai Quek
      Pages 85-116

    6. Computational Agents in Complex Decision Support Systems

      • Antonio Fernández-Caballero, Marina V. Sokolova
      Pages 117-142

    7. A Multi-criteria Decision-Support Approach to Sustainable Rural Energy in Developing Countries

      • Judith A. Cherni, Nicole Kalas
      Pages 143-162

    8. A Decision Making System Based on Complementary Learning

      • Tuan Zea Tan, Geok See Ng, Chai Quek
      Pages 163-179

    9. A Forecasting Support System Based on Exponential Smoothing

      • Ana Corberán-Vallet, José D. Bermúdez, José V. Segura, Enriqueta Vercher
      Pages 181-204

    10. Reinforcement Based U-Tree: A Novel Approach for Solving POMDP

      • Lei Zheng, Siu-Yeung Cho, Chai Quek
      Pages 205-232

    11. On the Use of Fuzzy Inference Systems for Assessment and Decision Making Problems

      • Kai Meng Tay, Chee Peng Lim
      Pages 233-246

  3. Reviews and Applications of Intelligent Decision Support Systems

    1. Front Matter

      Pages 247-247
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    2. Decision Support Systems in Transportation

      • Jacek Zak
      Pages 249-294

    3. Decision Support Systems for the Food Industry

      • Sigurjón Arason, Eyjólfur Ingi Ásgeirsson, Björn Margeirsson, Sveinn Margeirsson, Petter Olsen, Hlynur Stefánsson
      Pages 295-315

    4. Building a Decision Support System for Urban Design Based on the Creative City Concept

      • Lee-Chuan Lin, Junzo Watada
      Pages 317-346

    5. Fuzzy Prices in Combinatorial Auction

      • Joshua Ignatius, Seyyed Mahdi Hosseini Motlagh, M. Mehdi Sepheri, Young-Jou Lai, Adli Mustafa
      Pages 347-367

    6. Application of Artificial Neural Network to Fire Safety Engineering

      • Eric Wai Ming Lee
      Pages 369-395

    7. Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design

      • Bing Xu, Junzo Watada
      Pages 397-425

    8. A Cognitive Interpretation of Thermographic Images Using Novel Fuzzy Learning Semantic Memories

      • C. Quek, W. Irawan, E. Ng
      Pages 427-452
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Keywords

About this book

Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.

Editors and Affiliations

  • University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  • University of Science Malaysia, Malaysia

    Chee Peng Lim

Bibliographic Information

  • Book Title: Handbook on Decision Making

  • Book Subtitle: Vol 1: Techniques and Applications

  • Editors: Lakhmi C. Jain, Chee Peng Lim

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-642-13639-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-13638-2Published: 15 July 2010

  • Softcover ISBN: 978-3-642-42239-3Published: 13 November 2014

  • eBook ISBN: 978-3-642-13639-9Published: 07 September 2010

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XIII, 532

  • Topics: Engineering, general, Artificial Intelligence, Computational Intelligence

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