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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4708


    Title: Automatically integrating multiple rule sets in a knowledge distributed environment
    Authors: C. H. Wang;T. P. Hong;S. S. Tseng;C. M. Liao
    Contributors: Department of Information Science and Applications
    Date: 1998
    Issue Date: 2009-11-30 16:03:12 (UTC+8)
    Publisher: Asia University
    Abstract: An actual knowledge application is made by means of evolution paradigms in terms of knowledge acquisition. An automatic knowledge integration approach in a distributed-knowledge environment is thus proposed to integrate multiple rule sets into a single effective rule set. The proposed approach consists of two phases: knowledge encoding and knowledge integration. In the encoding phase, each knowledge input is translated and expressed as a rule set, then encoded as a bit string. The combined bit strings from multiple knowledge inputs form an initial knowledge population, which is then ready for integration. In the knowledge integration phase, a genetic search technique generates an optimal or nearly optimal rule set from these initial knowledge-input strings. Finally, experimental results from diagnosis of brain tumors show that the rule set derived by the proposed approach is much more accurate than each initial rule set
    Relation: IEEE Transactions on Systems, Man, and Cybernetics, Part C 28(3):471-476
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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