Details
Handbook on Decision Making
Vol 2: Risk Management in Decision MakingIntelligent Systems Reference Library, Band 33
149,79 € |
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Verlag: | Springer |
Format: | |
Veröffentl.: | 15.03.2012 |
ISBN/EAN: | 9783642257551 |
Sprache: | englisch |
Anzahl Seiten: | 454 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems.</p><p>The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.</p>
Part 1. Decision Making Under Risk.- Part 2. Risk Management In Business Decision Making.- Part 3. Risk Assessment and Response Systems.
<p>This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems.</p><p>The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.</p>
First book to systematically and comprehensively present the theories and technologies of bi-level/multi-level decision making models, algorithms, software and applications as a whole Presents theoretical models, computational algorithms and practical techniques, software systems and applications of multi-level decision making Written by leading experts in the field