This volume represents leading research from the Second KES International Symposium on Intelligent Decision Technologies, KES IDT'10, which was concerned with theory, design development, implementation, testing and evaluation of intelligent decision systems.

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.

Recent research in intelligent decision technologies Edited outcome of the IDT 2010 conference held in Baltimore, US, in July 2010 Written by experts in the field

Inhalt
Keynote Papers.- Decision Making Theory.- Advances in Intelligent Decision Systems.- Intelligent Decision Technologies in Accounting and Finance.- Optimization-Based Intelligent Techniques in Image Processing.- E-commerce and Logistics Management.- Intelligent Spatial Decision Analysis.- Using Intelligent Systems for Decision Support in Health Systems.- Ontology-Based KMS and DMSS for Service Systems.- Service-Oriented Innovation for Designing Intelligent Environment.- Applying Intelligent Decision Technology.- Soft Data Analysis Based Fuzzy Systems, Control and Decision Making.- Kansei Communication and Value Creation in Human Mind.- Future Direction of Innovative Decision Technologies.