摘要
以提高案例推理方法中案例调整的有效性为目的,归纳了案例推理中主要案例调整方法,以模糊集理论为出发点,提出并论证了主要案例调整方式的适用条件。在此基础上,设计了案例调整算法,并给出一个通用的案例调整框架。最后,使用上述案例调整技术,对钢铁生产的动态调度实例进行了求解,仿真结果验证了该技术在解决复杂的案例调整问题上的有效性和柔性。
The purpose of this paper is to improve the validity of case adaptation in case-based reasoning. The main case adaptation approaches in case-based reasoning were summarized. Taking the rough set theory as start, the applicable qualifications of main case adaptation types were proposed and proved. On the basis of that, the case adaptation algorithms were designed, and a general framework of case adaptation was proposed. Finally, the adaptation technique was taken into application, and the instances of dynamic scheduling problem in iron and steel production was solved. The simulation result validates that the technique is valid and flexible in solving complex case adaptation problems.
出处
《系统仿真学报》
CAS
CSCD
2004年第6期1260-1265,1283,共7页
Journal of System Simulation
基金
国家自然科学基金(70171056
60084003)
国家863/CIMS(2002AA412010
2002AA414610)。
关键词
案例推理
案例调整
粗糙集
调整方式
适用条件
case-based reasoning
case adaptation
rough set
adaptation type
applicable qualifications
