模糊分类质量评价在偿付能力分析中的应用

Q3 Economics, Econometrics and Finance

Fuzzy Economic Review Pub Date : 2017-01-01 DOI:10.25102/FER.2017.01.02

Fabián Castiblanco, J. Montero, Juan Tinguaro Rodríguez, D. Gómez

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引用次数: 4

摘要

本文的目的是应用并确立模糊分类系统在评价模糊分区质量方面的优势。该系统应用于具体部门的企业财务偿付能力分析的方法建议中。偿付能力的部门分析被认为是一个无监督模糊分类问题，通过系统的应用，寻求对已建立分区的分类和质量进行评估，从而确定是否修改、消除或增加样本空间分区的类别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quality Assessment of Fuzzy Classification: An Application to Solvency Analysis

The aim of this paper is to apply and establish the advantages of using fuzzy classification systems in evaluating the quality of a fuzzy partition. The system is applied in a methodological proposal for the analysis of the business financial solvency in a specific sector. The sectorial analysis of the solvency is considered as an unsupervised fuzzy classification problem and it is sought through the application of the system, to evaluate both the classification and the quality of the established partition, which allows determine whether modify, to eliminate or to add classes to the partition of the sample space.

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来源期刊

Fuzzy Economic Review Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

0.40

自引率

0.00%

发文量