© 2008

Complex Decision Making

Theory and Practice

  • H. Qudrat-Ullah
  • J.M. Spector
  • P.I. Davidsen

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages I-X
  2. Complex Decision Making Concepts, Theories, and Empirical Evidence

    1. Front Matter
      Pages 1-1
    2. Mustafa Karakul, Hassan Qudrat-Ullah
      Pages 3-24
    3. J. Michael Spector
      Pages 25-37
  3. Tools and Techniques for Decision Making in Complex Systems

    1. Front Matter
      Pages 39-39
    2. Jesús M. Latorre, Santiago Cerisola, Andrés Ramos, Rafael Bellido, Alejandro Perea
      Pages 83-96
  4. System Dynamics and Agent-Based Modeling in Action

    1. Front Matter
      Pages 153-153
    2. Eric Wolstenholme, David Monk, Douglas McKelvie, Gill Smith
      Pages 155-183
    3. Nazmun N. Ratna, Anne Dray, Pascal Perez, R. Quentin Grafton, David Newth, Tom Kompas
      Pages 247-265
  5. Methodological Issues in Research on Complex Decision Making

    1. Front Matter
      Pages 267-267
    2. James K. Doyle, Michael J. Radzicki, W. Scott Trees
      Pages 269-294

About this book


The increasingly complex environment of today's world, characterized by technological innovation and global communication, generates myriads of possible and actual interactions while limited physical and intellectual resources severely impinge on decision makers, be it in the public or private domains.

At the core of the decision-making process is the need for quality information that allows the decision maker to better assess the impact of decisions in terms of outcomes, nonlinear feedback processes and time delays on the performance of the complex system invoked. 

This volume is a timely review on the principles underlying complex decision making, the handling of uncertainties in dynamic envrionments and of the various modeling approaches used. The book consists of five parts, each composed of several chapters:

 I: Complex Decision Making: Concepts, Theories and Empirical Evidence

II: Tools and Techniques for Decision Making in Complex Environments and Systems

III: System Dynamics and Agent-Based Modeling

IV: Methodological Issues

V: Future Directions







Data Envelopment Analysis Evaluation Simulation agent-based modeling calculus data envelopment decision making innovation modeling multiple objective optimization scheduling uncertainty handling

Editors and affiliations

  • H. Qudrat-Ullah
    • 1
  • J.M. Spector
    • 2
  • P.I. Davidsen
    • 3
  1. 1.School of Administrative StudiesYork UniversityTorontoCanada
  2. 2.Learning Systems Institute Instructional Systems ProgramFlorida State UniversityTallahasseeUSA
  3. 3.Department of Geography System Dynamics ProgramUniversity of BergenNorway

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