A new method for calculation of the approximations under the probabilistic rough sets

Junbo Zhang, Tianrui Li, Lei Wang
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Abstract

The rough set theory (RST) can deal with the approximations of an arbitrary subset of a universe by two definable subsets called, respectively, the lower and the upper approximations. Probabilistic rough sets (PRS) model is an extension of RST. In this paper, we propose a new matrix view of PRS and give the matrix representation of the lower and upper approximations of PRS. According to this matrix view, a new method is obtained for calculation of the lower and upper approximations under PRS. An example is given to illustrate processes of calculating the approximations of a concept based on the matrix point of view.
给出了一种计算概率粗糙集近似的新方法
粗糙集理论(RST)可以用两个可定义的子集分别称为下近似和上近似来处理宇宙的任意子集的近似。概率粗糙集(PRS)模型是RST的扩展。本文提出了一种新的PRS的矩阵观,并给出了PRS的上下近似的矩阵表示。根据这一矩阵观,得到了一种计算PRS下近似和上近似的新方法。给出了一个基于矩阵观点的概念近似值的计算过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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