000 04198nam a22004935i 4500
001 978-3-642-29920-9
003 DE-He213
005 20140220083317.0
007 cr nn 008mamaa
008 120519s2012 gw | s |||| 0|eng d
020 _a9783642299209
_9978-3-642-29920-9
024 7 _a10.1007/978-3-642-29920-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aWatada, Junzo.
_eeditor.
245 1 0 _aIntelligent Decision Technologies
_h[electronic resource] :
_bProceedings of the 4th International Conference on Intelligent Decision Technologies (IDT´2012) - Volume 2 /
_cedited by Junzo Watada, Toyohide Watanabe, Gloria Phillips-Wren, Robert J. Howlett, Lakhmi C. Jain.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXII, 523 p. 175 illus., 99 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSmart Innovation, Systems and Technologies,
_x2190-3018 ;
_v16
505 0 _aFrom the content: Evaluating Top Services-Prepackaged Software Firms in Standard and Poor’s 500 index by Using a Multiple Objective Programming Based Data Envelopment Analysis -- Hot Fomentation of the Lower-Back for Stress Relief in Students Preparing for a National Examination of Clinical Medical Technologist -- Hybrid MCDM Model for the Value Evaluation of the Restoration of Historical Objects -- Immunization of Networks via Modularity based Node Representation -- Information Fusion Approach in Computer‐Aided Detection of Pathological Changes -- Manufacturing Intelligence to Forecast the Customer Order Behavior for Vendor Managed Inventory.
520 _aThe Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others.  Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, and designer drugs. This volume contains papers from the Fourth KES International Symposium on Intelligent Decision Technologies (KES IDT’12), hosted by researchers in Nagoya University and other institutions in Japan.  This book contains chapters based on papers selected from a large number of submissions for consideration for the conference from the international community. The volume represents the current leading thought in intelligent decision technologies.      
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aWatanabe, Toyohide.
_eeditor.
700 1 _aPhillips-Wren, Gloria.
_eeditor.
700 1 _aHowlett, Robert J.
_eeditor.
700 1 _aJain, Lakhmi C.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642299193
830 0 _aSmart Innovation, Systems and Technologies,
_x2190-3018 ;
_v16
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-29920-9
912 _aZDB-2-ENG
999 _c103107
_d103107