[1]YANG Chun-yan,CA IWen.M in ing conductive knowledge in information elements possessed by an identical object[J].CAAI Transactions on Intelligent Systems,2008,3(4):305-308.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 4
Page number:
305-308
Column:
学术论文—知识工程
Public date:
2008-08-25
- Title:
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M in ing conductive knowledge in information elements possessed by an identical object
- Author(s):
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YANG Chun-yan; CA IWen
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Research Institute of Extension Engineering, Guangdong University of Technology, Guangzhou 510090, China
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- Keywords:
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extenics; information2element; conductive degree; conductive knowledge; extension data mining
- CLC:
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TP18
- DOI:
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- Abstract:
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Conductive knowledge is a sore of rule knowledge caused by conductive transformation. Conductive knowledge has different forms because conductive transformations vary, including variations between transformations of information elements possessed by a single object and by different objects. This kind of knowledge is valuable for solving contradiction p roblems and can p rovide considerable help for decision makers. Based on the conductive transformation theory of Extenics, the basic concep tions of conductive characteristics and conductive degree are p resented. The p rocedures for rep resentation and acquisition of conductive knowledge among information2elements possessed by an identical object are discussed. The study p rovides p racticalmethods formining conductive knowl2 edge, based on extension transformations from databases, and methodologies for acquisition of conductive knowl2 edge from informationelements possessed by different objects.