文件名称:粗糙集属性约简算法综述
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属性约简是粗糙集理论中最核心的问题。文章阐述了基于信息熵、可辨识矩阵、遗传算法、 Johnson 等粗糙集属
性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibility matrix, genetic algorithm and Johnson are expounded
The flow chart of attribute reduction algorithm, points out the existing problems and development trend of attribute reduction algorithms in rough sets, and promotes further development of attribute reduction in rough sets.)
性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibility matrix, genetic algorithm and Johnson are expounded
The flow chart of attribute reduction algorithm, points out the existing problems and development trend of attribute reduction algorithms in rough sets, and promotes further development of attribute reduction in rough sets.)
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粗糙集属性约简算法综述.pdf