Research on case adaptation techniques in case-based reasoning

被引：0

作者：

Chang, CG ^{[1
]}

Cui, JJ ^{[1
]}

Wang, DW ^{[1
]}

Hu, KY ^{[1
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

case-based reasoning; case adaptation; rough set; adaptation type; applicable qualification;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the purpose to improve the validity of case adaptation in CBR(case-based reasoning), firstly, the main case adaptation approaches in CBR are summarized. Then, taking the rough set theory as the start, the applicable qualifications of main case adaptation types are proposed and proved. Furthermore, the case adaptation algorithms are designed, and a general framework of case adaptation is proposed. Finally, the adaptation technique is taken into application, and the instances of dynamic scheduling problem in steel-making is solved. The simulation result is verified that the technique is valid and flexible in solving complex case adaptation problems.

引用

页码：2128 / 2133

页数：6

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