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基于Rough集的决策表属性最小约简的整数规划算法
引用本文:戎晓霞,刘家壮,马英红. 基于Rough集的决策表属性最小约简的整数规划算法[J]. 计算机工程与应用, 2004, 40(11): 24-25,98
作者姓名:戎晓霞  刘家壮  马英红
作者单位:山东大学数学与系统科学学院,济南,250100;山东师范大学信息管理学院,济南,250014
基金项目:国家自然科学基金(编号:10201019)
摘    要:近年来随着知识发现和数据挖掘的广泛应用,在计算机科学中约简算法越来越得到人们的重视。该文依据决策信息系统中属性约简与逻辑运算的关系,提出了一种计算属性集最小约简的整数规划算法,并建议了相应快速的求解方法。该算法能有效地避免大量逻辑运算,在动态环境下更显示其优越性。实例验证了该算法的有效性。

关 键 词:粗集  最小约简  整数规划
文章编号:1002-8331-(2004)11-0024-02

Integer Programming Algorithm for Finding Minimal Reduction in Decision Table Based on Rough Set
Rong Xiaoxia Liu Jiazhuang Ma Yinghong. Integer Programming Algorithm for Finding Minimal Reduction in Decision Table Based on Rough Set[J]. Computer Engineering and Applications, 2004, 40(11): 24-25,98
Authors:Rong Xiaoxia Liu Jiazhuang Ma Yinghong
Affiliation:Rong Xiaoxia 1 Liu Jiazhuang 1 Ma Yinghong 21
Abstract:In recent years,due to the practical use of knowledge di scovery and data mining,the research for reduction is becoming more important aspect of computer science.Based on the relationship between attribute reductio n and logic operations,an integer programming algorithm in finding minimal size reduction is proposed in this paper and a method for solving the model is given .This algorithm can avoid complicated logic operations,and becomes more effect ive in dynamic environment.The experiments show the algorithm is effective.
Keywords:Rough set  Minimal reduction  Integer programming
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