Scoring models: Towards the more realistic approach | Zendy

Gordana Radojević | Zendy; Milija Suknović | Zendy

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Scoring models: Towards the more realistic approach

Author(s) -

Gordana Radojević,

Milija Suknović

Publication year - 2009

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis0901045r

Subject(s) - computer science , decision support system , intelligent decision support system , decision system , decision engineering , fuzzy logic , r cast , decision analysis , business decision mapping , evidential reasoning approach , management science , artificial intelligence , operations research , mathematics , statistics , economics

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 decisionmaking 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.

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