| 000 | 03157nam a2200349za04500 | ||
|---|---|---|---|
| 001 | 17697 | ||
| 008 | 050703s2011 gw eng d | ||
| 020 | _a9783642221941 99783642221941 | ||
| 082 |
_a006.3 _b223 |
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| 245 |
_aIntelligent Decision Technologies _h[electronic resource]: _bProceedings of the 3rd International Conference on Intelligent Decision Technologies (IDT' 2011) / _cedited by Junzo Watada, Gloria Phillips-Wren, Lakhmi C. Jain, Robert J. Howlett. |
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| 300 |
_aXIV, 930p. 295 illus., 124 illus. in color. _bonline resource. |
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| 490 | _aSmart Innovation Systems and Technologies | ||
| 490 |
_x-2190-3018 ; _v-10 |
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| 505 | _aFrom the content: Determining an Efficient Parts Layout for Assembly Cell Production by using GA and Virtual Factory System.- Virtual University - A New Perspective.- Fuzzy preference based organizational performance measurement.- Software Testing - Factor Contribution Analysis in a Decision Support Framework. | ||
| 520 | _aIntelligent 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 Third KES International Symposium on Intelligent Decision Technologies (KES IDT'11), hosted and organized by the University of Piraeus, Greece, 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, 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 for a better future. | ||
| 650 |
_aEngineering. _996 |
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| 650 |
_aArtificial intelligence. _933648 |
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| 650 |
_aEngineering. _996 |
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| 650 |
_aArtificial Intelligence (incl. Robotics). _923200 |
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| 650 |
_933763 _aCOMPUTATIONAL INTELIGENCE |
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| 700 |
_aWatada, Junzo. _935056 |
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| 700 |
_eeditor. _935057 |
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| 700 |
_aPhillips-Wren, Gloria. _935058 |
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| 700 |
_eeditor. _935057 |
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| 700 |
_aJain, Lakhmi C. _935059 |
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| 700 |
_eeditor. _935057 |
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| 700 |
_aHowlett, Robert J. _934999 |
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| 700 |
_eeditor. _935057 |
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| 710 |
_aSpringerLink (Online service) _9111 |
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| 856 |
_uhttps://0210g33cl-y-https-link-springer-com.escuelaing.metaproxy.org:9443/book/10.1007/978-3-642-22194-1 _yir a documento _qURL |
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