摘要
值约简是粗糙集理论的一个重要研究课题。而现有的很多值约简算法。在执行效率上还有待提高。通过对现有的启发式值约简算法的研究，提出了一种新的基于属性值重要性的粗糙集值约简算法，并通过实例分析验证了该算法的可行性和有效性。
The value reduction is an important research topic in rough set theory. But many existing algorithms for Value Reduction still remain to improve in carrying out efficiency. Puts forward a new kind of improved rough set algorithm for value reduction based on importance of attribute value on the basis of the existing heuristic algorithm for value reduction. It has verified feasibility and validity of this algorithm through the instance analysis.
作者
刘甲伟
栾爽
LIU Jia-wei, LUAN Shuang （Software College, Dalian Jiaotong University,, Dalian 116028, China）
出处
《电脑知识与技术》
2009年第8期6088-6089,6101,共3页
Computer Knowledge and Technology
关键词
粗糙集
值约简
决策表
rough set
reduction of value
decision table
