摘要
粒计算是一种基于问题概念空间划分的新的智能计算理论和方法,不相容决策表是粗糙集理论研究的一个重点。利用粗糙集中的等价关系来构建粒子,给出了决策表系统的粒子分解方法及在粒表示下以属性重要性作为启发信息的属性约简算法。实验结果表明该算法不仅具有高效性,而且能处理大型决策表。
Granular computing is a new intelligent computing theory and method based on issue partition concepts.Inconsistent decision table is an important aspect in rough set theory.Using the equivalent relation in rough set to construct particle,this paper offers decompounds method of particle,furthermore gives the heuristic information in attribute reduction algorithm based on attribute importance.At last,experimental result shows that the new algorithm is not only very efficient but also can treat with large decision table.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第30期157-159,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.10471036
No.60474070
湖南省科技计划项目基金(No.05FJ3074)
湖南省教育厅重点项目基金(No.07A001)~~
关键词
粗糙集
粒计算
属性约简
属性重要性
rough set
granular computing
attribute reduction
attribute importance
