Handbook on Decision Making: Vol 2: Risk Management in Decision Making
- 9h 7m
- Guangquan Zhang (eds), Jie Lu, Lakhmi C. Jain
- Springer
- 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.
About the Editors
Professor Jie Lu is the Head of School of Software in the Faculty of Engineering and Information Technology, and the Director of the Decision Systems and e-Service Intelligence Research Laboratory in the Centre for Quantum Computation & Intelligent Systems at the University of Technology, Sydney (UTS). She received her PhD from Curtin University of Technology in 2000. Her main research interests lie in the area of decision making modeling, decision support system tools, uncertain information processing, recommender systems and e-Government and e-Service intelligence. She has published five research books and 270 papers in refereed journals and conference proceedings. She has won five Australian Research Council (ARC) discovery grants, an Australian Learning & Teaching Council grant, and 10 other research and industry linkage grants. She received the first UTS Research Excellent Medal for Teaching and Research Integration in 2010. She serves as Editor-In-Chief for Knowledge-Based Systems (Elsevier), Editor-In-Chief for International Journal on Computational Intelligence Systems (Atlantis), editor for book series on Intelligent Information Systems (World Scientific) and proceedings series on Computer Engineering and Information Science (World Scientific), and has served as a guest editor of six special issues for international journals, as well as having delivered five keynote speeches at international conferences.
Professor Lakhmi C. Jain is a Director/Founder of the Knowledge-Based Intelligent Engineering Systems (KES) Centre, located in the University of South Australia. He is a fellow of the Institution of Engineers Australia.
His interests focus on the artificial intelligence paradigms and their applications in complex systems, art-science fusion, e-education, e-healthcare, unmanned air vehicles and intelligent agents.
Guangquan Zhang is an Associate Professor and co-Director of the Decision Systems and e-Service Intelligence Research Laboratory in the Centre for Quantum Computation & Intelligent Systems in Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), Australia. He has a PhD in Applied Mathematics from Curtin University of Technology, Australia, and been awarded an Australian Research Council (ARC) QEII Fellow (2005-2010). He was with the Department of Mathematics, Hebei University, China, from 1979 to 1997, as a Lecturer, Associate Professor and Professor. His main research interests lie in the area of multi-objective, bilevel and group decision making, decision support system tools, fuzzy measure, fuzzy optimization and uncertain information processing. He has published four monographs, four reference books and over 200 papers in refereed journals and conference proceedings and book chapters. He has won four ARC Discovery grants and over 10 other research grants. He has served as a guest editor of three special issues for international journals.
In this Book
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Risk Management in Decision Making
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Computational Intelligence Techniques for Risk Management in Decision Making
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Using Belief Degree Distributed Fuzzy Cognitive Maps for Energy Policy Evaluation
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The Risk of Comparative Effectiveness Analysis for Decision Making Purposes
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Portfolio Risk Management Modelling by Bi-level Optimization
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Possibilistic Decision-Making Models for Portfolio Selection Problems
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Searching Musical Representative Phrases Using Decision Making Based on Fuzzy Similarities
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A Risk-Based Multi-criteria Decision Support System for Sustainable Development in the Textile Supply Chain
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Fuzzy Decision System for Safety on Roads
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A New Latex Price Forecasting Model to Reduce the Risk of Rubber Overproduction in Thailand
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An Agent-Based Modeling for Pandemic Influenza in Egypt
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Supply Chain Risk Management: Resilience and Business Continuity
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A Fuzzy Decision System for an Autonomous Car Parking
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Risk-Based Decision Making Framework for Investment in the Real Estate Industry
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Risk Management in Logistics
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Natural Disaster Risk Assessment Using Information Diffusion and Geographical Information System
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Applications of Social Systems Modeling to Political Risk Management
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An Integrated Intelligent Cooperative Model for Water-Related Risk Management and Resource Scheduling
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Determining the Significance of Assessment Criteria for Risk Analysis in Business Associations
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Artificial Immune Systems Metaphor for Agent Based Modeling of Crisis Response Operations
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Mobile-Based Emergency Response System Using Ontology-Supported Information Extraction
