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Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory

机译:基于模糊粗糙集理论的企业财务状况综合评价

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摘要

Enterprise financial status synthetic evaluation is an important issue. The weight of synthesis evaluation is determined by expert, lending to subjectivity and without considering the redundancy of attributes exists in traditional synthetic evaluation. Recently, an attempt of integration between the theories of fuzzy set and rough sets has resulted in providing a roughness measure for fuzzy sets. Therefore, in this study, we firstly define the attribute reduction based on rough set theory. Secondly, we create membership function of each attributes. Using membership function, we can easily create the judgment matrix. Thirdly, we discuss the weight of attribute and measure of information. Finally, the methods of the synthesis evaluation are present with an example.
机译:企业财务状况综合评价是一个重要问题。合成评估的重量由专家确定,贷款到主体性,而不考虑传统的合成评估中存在的属性冗余。最近,模糊集和粗糙集理之间的集成尝试导致模糊集的粗糙度测量。因此,在本研究中,我们首先定义了基于粗糙集理论的属性降低。其次,我们创建每个属性的隶属函数。使用会员函数,我们可以轻松创建判断矩阵。第三,我们讨论了属性的重量和信息的衡量标准。最后,具有合成评估的方法存在于一个例子。

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