[1]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.
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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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.
挖掘同对象信息元的传导知识
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
3
期数:
2008年第4期
页码:
305-308
栏目:
学术论文—知识工程
出版日期:
2008-08-25
- Title:
- M in ing conductive knowledge in information elements possessed by an identical object
- 文章编号:
- 1673-4785 (2008) 04-0305-04
- Keywords:
- extenics; information2element; conductive degree; conductive knowledge; extension data mining
- 分类号:
- TP18
- 文献标志码:
- A
- 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 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.
- 参考文献/References:
-
[ 1 ]杨春燕, 蔡 文. 可拓工程[M ]. 北京: 科学出版社, 2007.
[ 2 ]蔡 文,杨春燕,何 斌. 可拓逻辑初步[M ]. 北京:科学出版社, 2003.
[ 3 ]李立希,杨春燕,李铧汶. 可拓策略生成系统[M ]. 北京: 科学出版社, 2006.
[ 4 ] YANG Chunyan. Conductive transformation and conductive contradiction p roblem solving[C ] / /Proceedings of 2006 In2 ternational Conference on A I. Beijing: BUPT Publishing House, 2006: 8402843.
[ 5 ]陈文伟. 挖掘变化知识的可拓数据挖掘研究[ J ]. 中国工程科学, 2006, 8 (11) : 70273. CHEN Wenwei. Extension data mining for mining changing knowledge[ J ]. Engineering Science, 2006, 8 (11) : 70273.
?[ 6 ]陈 安,陈 宁,周龙骧,等. 数据挖掘技术及应用[M ]. 北京:科学出版社, 2006.
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备注/Memo
收稿日期: 2008204225.
基金项目: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) .
作者简介:
杨春燕,女, 1964年生,研究员,中国人工智能学会理事,中国人工智能学会可拓工程专业委员会常务副主任,主要研究方向为可拓学、人工智能、决策科学. 主持国家自然科学基金项目2 项,广东省自然科学基金项目2项,参加国家自然科学基金项目多项,发表学术论文50余篇,出版专著7部.
蔡 文,男, 1942年生,研究员,国家级有突出贡献的专家,可拓学的创立者, 中国人工智能学会常务理事,中国人工智能学会可拓工程专业委员会主任,主要研究方向为可拓学、人工智能、决策科学. 主持国家自然科学基金项目5项,参与国家自然科学基金项目多项,发表学术论文多篇,出版专著7部.
更新日期/Last Update:
2009-05-17