Intelligent Decision Technologies (IDT) seeks an interchange of
research on intelligent systems and intelligent technologies which
enhance or improve decision making in industry, government and
academia. The focus is interdisciplinary in nature, and includes
research on all aspects of intelligent decision technologies, from
fundamental development to the applied system. This volume
represents leading research from the Second KES International
Symposium on Intelligent Decision Technologies (KES IDT'10), hosted
and organized by the Sellinger School of Business and Management,
Loyola University Maryland, USA, in conjunction with KES
International. The symposium was concerned with theory, design
development, implementation, testing and evaluation of intelligent
decision systems. Topics include decision making theory,
intelligent agents, fuzzy logic, multi-agent systems, Bayesian
networks, optimization, artificial neural networks, genetic
algorithms, expert systems, decision support systems, geographic
information systems, case-based reasoning, time series, knowledge
management systems, Kansei communication, rough sets, spatial
decision analysis, and multi-criteria decision analysis. These
technologies have the potential to revolutionize decision making in
many areas of management, healthcare, international business,
finance, accounting, marketing, military applications, ecommerce,
network management, crisis response, building design, information
retrieval, and disaster recovery.
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