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挖掘同对象信息元的传导知识
引用本文:杨春燕,蔡文.挖掘同对象信息元的传导知识[J].智能系统学报,2008,3(4):305-308.
作者姓名:杨春燕  蔡文
作者单位:广东工业大学可拓工程研究所,广东广州510090
基金项目:国家自然科学基金,广东省高校人文社会科研重点项目,广东省自然科学基金 
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.

关 键 词:可拓学  信息元  传导度  传导知识  可拓数据挖掘

Mining conductive knowledge in information elements possessed by an identical object
YANG Chun-yan,CAI Wen.Mining conductive knowledge in information elements possessed by an identical object[J].CAAL Transactions on Intelligent Systems,2008,3(4):305-308.
Authors:YANG Chun-yan  CAI Wen
Affiliation:Research Institute of Extension Engineering, Guangdong University of Technology, Guangzhou 510090, China
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 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.
Keywords:extenics  information2element  conductive degree  conductive knowledge  extension data mining
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