Advances in intelligent decision technologies

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Intelligent Decision Technologies (IDT) promotes research on intelligent systems and technologies that enhance decision-making across various sectors, including industry, government, and academia. This interdisciplinary focus encompasses all facets of intelligent decision technologies, from fundamental development to applied systems. This volume showcases leading research from the Second KES International Symposium on Intelligent Decision Technologies (KES IDT’10), organized by the Sellinger School of Business and Management at Loyola University Maryland, in collaboration with KES International. The symposium addressed the theory, design, implementation, testing, and evaluation of intelligent decision systems. Key topics covered 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 analysis, knowledge management systems, Kansei communication, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies hold the potential to transform decision-making processes in management, healthcare, international business, finance, accounting, marketing, military applications, e-commerce, network management, crisis response, building design, information retrieval, and disaster recovery.