文章基本信息

标题：FUZZY SETS THEORY FOR LEASING’S CREDIT RISK ASSESSMENT: EMPIRICAL EVIDENCE
本地全文：下载
作者：Vaidas Paužuolis ; Dr. Aurelijus Cvilikas
期刊名称：European Journal of Business and Social Sciences
印刷版ISSN：2235-767X
出版年度：2014
卷号：2
期号：12
页码：01-14
出版社：European Society of Business and Social Sciences
摘要：Risk management is approached as one of the most important internal activities in finance sector that determines most of the decisions performed by the financial institution. However, in the academic literature there is highlighted the need to create specific models of credit risk assessment that are adapted to services distinguishes with lower risk level, and in this way there is created the possibility to modify the risk assessment process keeping the chosen risk level for the situation. In this publication there is presented the empirical research results of credit risk assessment model application in practice. The results of empirical research enables to state that creditor, applying fuzzy sets theory in credit risk assessment model, is able to assess the credit risk of potential debtor in a quite easy way if automated systems and digital hardware is used.
关键词：credit risk; risk assessment; fuzzy sets theory.