| 一种改进的模糊粗糙集属性约简启发式算法 |
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| 引用本文： | 陈贞.一种改进的模糊粗糙集属性约简启发式算法[J].漳州师院学报,2008,21(1):46-51. |
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| 作者姓名： | 陈贞 |
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| 作者单位： | 莆田学院电子信息工程系,福建莆田351100 |
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| 基金项目： | 世纪中国高等学校应用型人才培养体系的创新与实践立项课题基金资助项目（BIA010091-1-J02） |
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| 摘 要： | 介绍模糊粗糙集约简算法,利用模糊区分矩阵产生最小约简.通过分析,说明了算法的不足,提出相应的改进策略.将启发性知识结合区分矩阵,提出了基于属性特征权值的启发式约简算法,文中算法意义更加直观,计算也更加简单,提高了约简算法的速度.采用VC进行实验,通过对多个UCI数据集进行测试,结果说明了改进算法的有效性.
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| 关 键 词： | 模糊粗糙集 属性约简 属性权重 |
A Modified Heuristic Algorithm of Attributes Reduction Based on the Fuzzy-rough Set |
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| CHEN Zhen.A Modified Heuristic Algorithm of Attributes Reduction Based on the Fuzzy-rough Set[J].Journal of ZhangZhou Teachers College(Philosophy & Social Sciences),2008,21(1):46-51. |
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| Authors: | CHEN Zhen |
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| Institution: | CHEN Zhen(Department of Electronic Information Engineering,Putian College,Putian,Fujian 351100,China) |
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| Abstract: | Consider the similarity of objects,we propose fuzzy similary relation represent indiscernibility relation of Rough Set.We generalize a series of concepts of attribute reduction to fuzzy environment,and then propose a new reduction algorithm based on fuzzy similary relation and the feature weight.Make experiment by VC,Several UCI data sets are used to test the approachs.The result demonstrates our method increases the data reduction rate greatly and simplifies the result effectively. |
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| Keywords: | fuzzy rough sets attribute reductions feature weight |
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