Complex Decision Making : Theory and Practice

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ISBN 10: 3540736646 / ISBN 13: 9783540736646

Published by Springer-Verlag GmbH, 2007

About this Item

Zustand: Sehr gut | Seiten: 338 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Seller Inventory # 3802336/12

Bibliographic Details

• Title: Complex Decision Making : Theory and Practice
• Publisher: Springer-Verlag GmbH
• Publication Date: 2007
• Language: English
• ISBN 10: 3540736646
• ISBN 13: 9783540736646
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems.

From the Back Cover

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