摘要
本文分析了已有不完备信息系统中可变精度Rough集模型存在的不足,提出了其改进模型;通过引入遗传算法来解决模型中的阈值优选问题,使阈值优选自动化。仿真试验说明了改进模型的有效性和优越性。
A improved tolerance relation based variable precision Rough set model in incomplete information system was proposed. By means of introducing the Genetic Algorithm, this paper found a way how to get an optimal threshold value, and the experiment the model has a good performance on knowledge reduction.
出处
《微计算机信息》
2009年第12期282-283,281,共3页
Control & Automation
关键词
不完备信息系统
容差关系
可变精度Rough集模型
遗传算法
Incomplete information system
tolerance relation
variable precision rough set model
genetic algorithm
