基于Rough理论属性重要性的遗传计算方法

Importance of Attributes Computed by Genetic Algorithms based on Rough Sets Theory

遗传算法提供求解复杂系统优化问题的通用框架,Rough集理论的属性依赖度可以确定各属性对系统分类的重要性。本文通过一个信息表实例将遗传算法和Rough集理论结合起来以计算属性的重要性,两者结合能有效进行属性重要性的计算,并能进行计算机自动计算和信息处理。

Genetic Algorithms provide a general frame to optionize problem solutions of complex systems. In Rough Sets Theory, the importance of every attribute to system classification can be determined by dependency of attributes. This paper combines Genetic Algorithms and Rough Sets Theory to compute importance of attributes by an example of information table, the combination enables us to compute importance of attributes effectively, it is also useful for computer auto-computing and information processing.