|
Gordana Radojeviæ1
and Milija
Suknoviæ2
1UniCredit
bank Serbia, Omladinskih brigada 88, Belgrade,
Serbia
gordana.radojevic@unicreditbank.com
2Fakultet
Organizacionih Nauka, Univerzitet u Beogradu, Jove
Iliæa 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.
|
