FUZZY SETS THEORY FOR LEASING’S CREDIT RISK ASSESSMENT: EMPIRICAL EVIDENCE
Journal Title: European Journal of Business and Social Sciences - Year 2014, Vol 2, Issue 12
Abstract
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.
Authors and Affiliations
Vaidas Paužuolis| (Corresponding Author) Kaunas University of Technology, K. Donelaičio g. 73, LT-3006 Kaunas vaidas.pauzuolis@gmail.com, phone: +370 655 39059, Dr. Aurelijus Cvilikas| Kaunas University of Technology, K. Donelaičio g. 73, LT-3006 Kaunas a.cvilikas@yahoo.com
Keywords
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- EP ID EP10365
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