Advances in Intelligent Decision Technologies Proceedings of the Second KES International Symposium IDT 2010

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 de...

Full description

Bibliographic Details
Other Authors: Phillips-Wren, Gloria (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2010, 2010
Edition:1st ed. 2010
Series:Smart Innovation, Systems and Technologies
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03564nmm a2200385 u 4500
001 EB000384942
003 EBX01000000000000000237994
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9783642146169 
100 1 |a Phillips-Wren, Gloria  |e [editor] 
245 0 0 |a Advances in Intelligent Decision Technologies  |h Elektronische Ressource  |b Proceedings of the Second KES International Symposium IDT 2010  |c edited by Gloria Phillips-Wren 
250 |a 1st ed. 2010 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2010, 2010 
300 |a 730 p. 225 illus  |b online resource 
505 0 |a 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 
653 |a Educational Technology 
653 |a Engineering 
653 |a E-commerce 
653 |a Computational intelligence 
653 |a Artificial Intelligence 
653 |a Computational Intelligence 
653 |a Educational technology 
653 |a Artificial intelligence 
653 |a e-Commerce/e-business 
653 |a Education—Data processing 
653 |a Engineering, general 
653 |a Computers and Education 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Smart Innovation, Systems and Technologies 
856 4 0 |u https://doi.org/10.1007/978-3-642-14616-9?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 620 
520 |a 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