Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/1310
Type of publication: Straipsnis / Article
Author(s): Cvilikas, Aurelijus;Vasiliauskaitė, Asta
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: 2008
Keywords: Credit risk;Leasing;Fuzzy sets;Kredito rizika;Lizingas;Neapibrėžtos aibės
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.
Internet: https://eltalpykla.vdu.lt/1/1310
https://hdl.handle.net/20.500.12259/1310
Appears in Collections:Taikomoji ekonomika: sisteminiai tyrimai / Applied Economics: Systematic Research 2008, nr. 2(1)

Files in This Item:
Show full item record

Page view(s)

46
checked on Aug 17, 2019

Download(s)

40
checked on Aug 17, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.