[1]陈文伟,黄金才,毕季明.适应变化环境的元知识的研究[J].智能系统学报,2009,4(04):331-334.
 CHEN Wen-wei,HUANG Jin-cai,BI Ji-ming.A study on metaknowledge suitable for a changing environment[J].CAAI Transactions on Intelligent Systems,2009,4(04):331-334.
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适应变化环境的元知识的研究(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第4卷
期数:
2009年04期
页码:
331-334
栏目:
出版日期:
2009-08-25

文章信息/Info

Title:
A study on metaknowledge suitable for a changing environment
文章编号:
1673-4785(2009)04-0331-04
作者:
陈文伟12黄金才1毕季明2
1.国防科技大学 信息系统与管理学院,湖南 长沙 410073;
2.海军兵种指挥学院 作战指挥系,广东 广州 510431
Author(s):
CHEN Wen-wei12 HUANG Jin-cai1 BI Ji-ming2 
1.College of Information System and Management,National University of Defense Technology, Changsha 410073,China;
2.Department of Campaign and Command, Naval Arms Command Academy, Guangzhou 510431,China
关键词:
元知识变换产生式可拓知识矛盾问题知识发现专家系统
Keywords:
metaknowledge transform production extension knowledge contradictory question knowledge discovery in database expert system
分类号:
TP181
文献标志码:
A
摘要:
元知识是描述、使用一般知识的知识,具有变化的特点.提出了用变换产生式,即可拓知识作为元知识的一种新的表示形式.它比一般用规则式表示的元知识更适应变化环境.在解决矛盾问题中用新元知识描述解决矛盾的本质是目标变换(TG)或条件变换(TL),引起了关联函数值(TK(P))的变换;知识发现中用新元知识说明属性约简变换Treduc是依赖于算子ASGF(Ci)的计算结果,基于粗糙集的知识获取是依赖于算子Aupdow(Ei ,Yj)的计算结果;专家系统中用新元知识作为控制知识推理的运行更体现了变化的特点.这些应用例子表明了用变换产生式作为元知识的一种新的表示形式更适应变化环境.
Abstract:
Metaknowledge is a form of knowledge for describing and applying general knowledge. It is in a continually changing state. The authors proposed a new method to represent metaknowledge using transformproduction, or extension knowledge. Compared with traditional metaknowledge representational methods using rule implication, extension knowledge is more suitable for changing environments. In solving contradictory problems with new metaknowledge, in essence, goaltransform ( TG)or conditiontransform (TL) triggers the transform of a related function’s value (TK(P)). The application of new metaknowledge to knowledge discovery in a database shows that the transform of attribute reduction (Treduc) depends on the computational result of operator ASGF(Ci). Knowledge acquisition based on a rough set is dependent on the computational value of operator Aupdow(Ei ,Yj). Extension knowledge is also suitable for representing metaknowledge in order to control the operation of expert systems. It is obvious that the new method, which employs transformproduction to represent metaknowledge, plays an instructive role in summarizing and solving such problems.

参考文献/References:

[1]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): 7073.
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 [2]陈文伟,杨春燕,黄金才.可拓知识与可拓知识推理[J].哈尔滨工业大学学报,2006,38(7): 10941096.
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备注/Memo

备注/Memo:
收稿日期:2008-11-05.
基金项目:国家自然科学基金资助项目(70671031).
通信作者:陈文伟.E-mail:chenww9@21cn.com.
作者简介:
 陈文伟,男,1940年生,教授,博士生导师,中国人工智能学会机器学习专业委员会副主任,中国人工智能学会可拓工程专业委员会副主任.主要研究方向为决策支持系统、机器学习、可拓工程、数据仓库与数据挖掘.获国家科技进步奖二等奖1项,军队科技进步奖二、三等奖多项.发表学术论文98篇.
黄金才,男,1972年生,副教授,博士,中国机器学习学会常务委员和副秘书长,湖南青年系统工程与管理研究会副会长,CCML2004程序委员会主席.主要研究方向为决策支持、数据挖掘和作战模拟.负责主持军队重点项目5项,发表学术论文23篇,被EI检索13篇.
毕季明,男,1972年生,讲师,主要研究方向为决策支持、指挥决策.发表学术论文12篇.
更新日期/Last Update: 2009-11-16