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Modeling Decision for Artificial Intelligence [electronic resource] : 8th International Conference, MDAI 2011, Changsha, Hunan, China, July 28-30, 2011, Proceedings / edited by Vicenc Torra, Yasuo Narukawa, Jianping Yin, Jun Long.

Contributor(s): Torra, Vicenc [editor.] | Narukawa, Yasuo [editor.] | Yin, Jianping [editor.] | Long, Jun [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 6820Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XIII, 259 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642225895.Subject(s): Artificial intelligence | Application software | Data mining | Database management | Computer networks  | Algorithms | Artificial Intelligence | Computer and Information Systems Applications | Data Mining and Knowledge Discovery | Database Management | Computer Communication Networks | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online In: Springer Nature eBookSummary: This book constitutes the proceedings of the 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011, held in Changsha, China, in July 2011. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.
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This book constitutes the proceedings of the 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011, held in Changsha, China, in July 2011. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.

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