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提出了一种基于相似度的变精度粗糙集模型,该模型是变精度粗糙集模型在不完备信息系统中的拓展.定义了这种模型上的知识约简,并给出了求约简的两种一般算法.最后通过实例分析说明了算法的有效性.
A variable precision rough set model based on similarity is proposed, which is an extension of the variable precision rough set model in the incomplete information system. The knowledge reduction on this model is defined, Two general algorithms are given.At last, an example is given to illustrate the effectiveness of the algorithm.