Complex Decision Making | Theory and Practice
Hassan Qudrat-Ullah (u. a.)
Sold by preigu, Osnabrück, Germany
AbeBooks Seller since August 5, 2024
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Add to basketSold by preigu, Osnabrück, Germany
AbeBooks Seller since August 5, 2024
Condition: New
Quantity: 5 available
Add to basketComplex Decision Making | Theory and Practice | Hassan Qudrat-Ullah (u. a.) | Taschenbuch | Understanding Complex Systems | xii | Englisch | 2010 | Springer | EAN 9783642092831 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller Inventory # 107220490
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.
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
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