Use this url to cite publication: https://hdl.handle.net/20.500.12259/1310
Fuzzy sets theory adoption for credit risk assessment in leasing sector
Author(s)
| Author |
|---|
Cvilikas, Aurelijus |
Title
Fuzzy sets theory adoption for credit risk assessment in leasing sector
Other Title
Neapibrėžtų aibių teorijos taikymas kredito rizikos lizingo sektoriuje vertinimui
Is part of
Taikomoji ekonomika: sisteminiai tyrimai, 2008, t. 2, nr. 1, p. 85-98
Date Issued
| Date | Issue | Start Page | End Page |
|---|---|---|---|
2008 | 2(1) | 85 | 98 |
Abstract
In this article the decisions for credit risk assessment efficiency improvement in leasing sector are presented. The model of credit risk assessment in leasing sector using fuzzy sets is formed to make the assessment of lessee’s credit risk easier.
Straipsnyje pateikiami sprendimai kredito rizikos vertinimo lizingo sektoriuje efektyvumui didinti. Suformuotas kredito rizikos vertinimo lizingo sektoriuje, naudojant neapibrėžtų aibių teoriją, modelis, palengvinantis lizingo gavėjo kredito rizikos įvertinimą.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
ISSN
1822-7996
1392-1142 (klaidingas)
Access Rights
Atviroji prieiga / Open Access