UDC 005.915:336.7, DOI: 10.2298/CSIS0901045R

Scoring models: towards the more realistic approach

Gordana Radojević1 and Milija Suknović2

  1. UniCredit bank Serbia
    Omladinskih brigada 88, Belgrade
    gordana.radojevic@unicreditbank.com
  2. Fakultet Organizacionih Nauka, Univerzitet u Beogradu
    Jove Ilića 154, Belgrade, Serbia
    milijas@fon.bg.ac.yu

Abstract

Financial decision-making is one of the most current issues of modern financial management. Financial decision-making is an area where decision support systems, knowledge-based decision support systems, and intelligent decision support systems are successfully applied. In consequence of the importance and complexity of this problem area a large number of methods of support to financial decision-making was developed. This paper presents the most important features of two decision support systems, a classical system and a system based on fuzzy logic. The performances of these two models are compared and the advantages achieved through the introduction of fuzzy concepts into the classical decision support systems are determined.

Key words

decision-making, decision support systems, fuzzy logic

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS0901045R

Publication information

Volume 6, Issue 1 (Jun 2009)
Year of Publication: 2009
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

Radojević, G., Suknović, M.: Scoring models: towards the more realistic approach. Computer Science and Information Systems, Vol. 6, No. 1, 45-69. (2009), https://doi.org/10.2298/CSIS0901045R