In this paper, application about discernibility matrix arithmetic and HORAFA arithmetic based on the rough set theory is introduced.
简要介绍了粗糙集理论中区分矩阵算法和HORAFA算法在知识约简中的应用。
Both of attribute weight frequency and strong compressible set are used to simplify discernibility matrix so that computing complexity is decreased and reduction efficiency is.
同时利用属性加权频率和强等价集概念化简区分矩阵，既减小了计算复杂度又提高了约简效率。
Both of attribute weight frequency and strong compressible set are used to simplify discernibility matrix so that computing complexity is decreased and reduction efficiency is increased.
同时利用属性加权频率和强等价集概念化简区分矩阵，既减小了计算复杂度又提高了约简效率。
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