Fuzzy Entropy: An Application to a Model of Fuzzy Business Diagnosis

被引：0

作者：

Hernan, P. Vigier ^{[1
]}

Valeria, Scherger ^{[2
]}

Antonio, Terceno ^{[3
]}

机构：

[1] Univ Nacl Sur UNS, Dept Econ, CEDETS UPSO CIC, Bahta Blanca, Argentina

[2] Univ Nacl Sur UNS, Dept Econ, IIESS UNS CONICET, Bahta Blanca, Argentina

[3] Univ Rovira i Tirgili, Fac Business & Econ, Dept Business Management, Reus, Spain

来源：

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | 2024年 / 43卷 / 1-2期

关键词：

Matrix of economic-financial knowledge; economic-financial diagnosis; symptoms and causes; fuzzy relations; fuzzy entropy; bankruptcy prediction; FINANCIAL RATIOS; PREDICTION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper extends the theory of fuzzy diseases predictions and bankruptcy likelihood in order to improve cause detection by introducing Fuzzy Entropy, as an alternative measure for the analysis of causes. In this case, the fuzzy entropy allows to assess a level of uncertainty in the expert's valuation of the firm and the visualization of certain problems in experts' valuation levels, which can cause higher levels of relative uncertainty in the analysis of causes in business diagnosis. Also, with this extension, the model can be useful to develop suitable computer systems for monitoring companies' problems, warning of failures and facilitating decision-making.

引用

页码：5 / 21

页数：17