Title :
Enterprise financial risk evaluation research based on fuzzy mathematics
Author :
Su, Ya-ran ; Nie, Yan-ping ; Niu, Xi-xian
Author_Institution :
Coll. of Bus. Adm., North China Electr. Power Univ., Beijing, China
Abstract :
Financial risk of a certain enterprise usually is categorized into a determination grade under the traditional evaluation method. The traditional classification can lead to part information loss, then result in mistake decisions of users. According to the characteristics of financial risk, a multi-level fuzzy model of comprehensive evaluation is put forward in this paper. The evaluation result can indicate the degree that the enterprise risk should belong to; help users to take advantage the enterprise risk information completely. To verify the accurate of new classification model, financial risk evaluation is carried out based on the data set of Shanghai Dianli. The result of simulated experiment shows that the fuzzy evaluation method ran well and can provide more useful information.
Keywords :
business data processing; financial management; fuzzy set theory; risk analysis; Shanghai Dianli data set; comprehensive evaluation multilevel fuzzy model; enterprise financial risk evaluation; fuzzy mathematics; traditional evaluation method; Biological system modeling; Business; Cybernetics; Indexes; Industries; Machine learning; Mathematical model; Debit risk; Earning risk; Financial risk; Fuzzy evaluation;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580548