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Research on an efficient rough Set based attribute reduction algorithm

机译:基于高效粗糙集的属性约简算法研究

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Rough set is a valid mathematical theory developed in recent years, which has the ability to deal with imprecise and uncertain information. It has been proven that computing all the reductions and the minimal reduction of information system is a NP-hard problem. In this paper, a coding and sorting method is proposed to reduce the computational complexity of indiscernibility relation and positive region computation, and so attribute reduction can be obtained efficiently. Experimental results showed that the proposed algorithm computed attribute reduction efficiently.
机译:粗糙集是近年来发展起来的有效数学理论,具有处理不精确和不确定信息的能力。已经证明,计算信息系统的所有缩减量和最小缩减量是一个NP难题。本文提出了一种编码和排序方法,以减少不可分辨关系和正区域计算的计算复杂度,从而可以有效地实现属性约简。实验结果表明,该算法能够有效地进行属性约简。

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