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On attributes reduction with fuzzy rough sets

机译:用模糊粗糙集减少的属性

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摘要

Fuzzy rough set is the generalization of Pawlak rough set to deal with both of fuzziness and vagueness in data. The existing research on fuzzy rough sets mainly concentrates on the construction of approximation operators. Less effort has been put on the attributes reduction of fuzzy rough sets. This paper mainly focuses on the attributes reduction of fuzzy rough sets. After analyzing the previous work of reduction of fuzzy rough sets, formal concepts of attributes reduction of fuzzy rough sets are introduced and the structure of reduction is studied completely. An algorithm based on discernibility matrix to compute all the attributes reductions is developed. These concepts have been demonstrated by an example.
机译:模糊粗糙集是Pawlak粗糙集的泛化,以处理数据的模糊和模糊性。对模糊粗糙集现有的研究主要集中在近似运营商的构建。少努力取得了模糊粗糙集的减少属性。本文主要侧重于减少模糊粗糙集的属性。在分析了以前的减少模糊粗糙集的工作之后,介绍了模糊粗糙集减少的正式概念,并完全研究了减少结构。开发了一种基于可辨别矩阵来计算所有属性缩减的算法。这些概念通过示例已经证明。

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