Overview
- 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
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 33)
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About this book
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.
The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.
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Table of contents (21 chapters)
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Front Matter
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Decision Making under Risk
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Front Matter
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Risk Management in Business Decision Making
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Front Matter
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Risk Assessment and Response Systems
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Handbook on Decision Making
Book Subtitle: Vol 2: Risk Management in Decision Making
Editors: Jie Lu, Lakhmi C. Jain, Guangquan Zhang
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-25755-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-25754-4Published: 19 April 2012
Softcover ISBN: 978-3-662-50666-0Published: 23 August 2016
eBook ISBN: 978-3-642-25755-1Published: 15 March 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 454
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory