Complex Decision Making : Theory and Practice. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer-Verlag GmbH, 2007
- Rilegato
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Zustand: Sehr gut | Seiten: 338 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Codice articolo 3802336/12
- Titolo
- Complex Decision Making : Theory and Practice
- Autore
- Unbekannt
- Editore
- Springer-Verlag GmbH
- Anno di pubblicazione
- 2007
- Condizione
- Sehr gut
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 3540736646
- ISBN 13
- 9783540736646
- Cataloghi dei venditori
- Bücher
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.
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Dalla quarta di copertina
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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