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挖掘同对象信息元的传导知识

Mining conductive knowledge in information elements possessed by an identical object

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【作者】 杨春燕蔡文

【Author】 YANG Chun-yan,CAI Wen(Research Institute of Extension Engineering,Guangdong University of Technology,Guangzhou 510090,China)

【机构】 广东工业大学可拓工程研究所广东工业大学可拓工程研究所 广东广州510090广东广州510090

【摘要】 传导知识是由于传导变换的发生而产生的一类规则知识.由于传导变换包括同对象信息元间和异对象信息元间的传导变换,因此传导知识也有不同的形式.这类知识对于人们解决矛盾问题、为决策者提供决策参考很有价值.以可拓学中的传导变换理论为依据,首先给出传导特征和传导度等基本概念,然后探讨变换关于同对象信息元传导知识的表示和获取步骤,为从数据库中挖掘基于可拓变换的传导知识提供了可操作的方法,也为研究获取异对象信息元间的传导知识提供参考.

【Abstract】 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 problems and can provide considerable help for decision makers.Based on the conductive transformation theory of Extenics,the basic conceptions of conductive characteristics and conductive degree are presented.The procedures for representation and acquisition of conductive knowledge among information-elements possessed by an identical object are discussed.The study provides practical methods for mining conductive knowledge,based on extension transformations from databases,and methodologies for acquisition of conductive knowledge from informationelements possessed by different objects.

【基金】 国家自然科学基金资助项目(70671031);广东省普通高校人文社会科学研究重点资助项目(06ZD63008);广东省自然科学基金资助项目(05001832)
  • 【文献出处】 智能系统学报 ,Caai Transactions on Intelligent Systems , 编辑部邮箱 ,2008年04期
  • 【分类号】TP182
  • 【被引频次】12
  • 【下载频次】152
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