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Decision roughness measurement and application research based on data effect

机译:基于数据效应的决策粗糙度测量与应用研究

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Roughness measurement, an important part of rough set theory, must be faced in building data-based decision-making method. Based on the deficiencies of the variable precision roughness measurement method, this paper introduces the concept of core data sets and establishes the decision roughness measurement based on data effect (DE-DRD); then, the properties of DE-DRD are discussed; Finally, as an application of DE-DRD, the attribute reduction method based on DE-DRD (DE-DRD-RM) is proposed, and combined with UCI data sets, the characteristics of DE-DRD-RM are analyzed. The theoretical analysis and practical application show that DE-DRD can integrate decision preference into measurement system, and has extensive application value in many fields.
机译:粗糙度测量是粗糙集理论的重要组成部分,在建立基于数据的决策方法时必须面对。针对可变精度粗糙度测量方法的不足,介绍了核心数据集的概念,建立了基于数据效应的决策粗糙度测量(DE-DRD)。然后讨论了DE-DRD的性质。最后,作为DE-DRD的应用,提出了一种基于DE-DRD的属性约简方法(DE-DRD-RM),并结合UCI数据集,分析了DE-DRD-RM的特性。理论分析和实际应用表明,DE-DRD可以将决策偏好整合到测量系统中,在许多领域具有广泛的应用价值。

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