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Handbook on Decision Making: Vol 2: Risk Management in Decision Making: Intelligent Systems Reference Library, cartea 33

Autor Jie Lu, Lakhmi C Jain, Guangquan Zhang
en Limba Engleză Hardback – 19 apr 2012
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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Specificații

ISBN-13: 9783642257544
ISBN-10: 3642257542
Pagini: 472
Ilustrații: XVIII, 454 p.
Greutate: 0.84 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Part 1. Decision Making Under Risk.- Part 2. Risk Management In Business Decision Making.- Part 3. Risk Assessment and Response Systems.

Textul de pe ultima copertă

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.

Caracteristici

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