Actuality of Bankruptcy Prediction Models used in Decision Support System

  • Mihaela Crăciun "Aurel Vlaicu" University of Arad Faculty of Exact Sciences
  • Dominic Bucerzan "Aurel Vlaicu" University of Arad Faculty of Exact Sciences
  • Crina Raţiu DARAMEC srl, Arad
  • Adriana Manolescu Agora University, Oradea, Romania


In the current conditions, the global economy is in a crisis situation. In terms of crisis management this article supports the Romanian companies. This article analyses some classical bankruptcy prediction models used in Decision Support Systems in order to validate or invalidate them in the actual Romanian economical conditions. It is essential to take the right decision at the right time, to help the company overcome an eventual moment of crisis, such as insolvency or even bankruptcy. Our study is based on the financial ratio of 60 Romanian companies, between 2005 and 2009. The firms are classified in two categories: bankrupted companies (B) and non-bankrupted companies (N-B).

Author Biography

Mihaela Crăciun, "Aurel Vlaicu" University of Arad Faculty of Exact Sciences
"Aurel Vlaicu" University of AradFaculty of Exact Sciences


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How to Cite
CRĂCIUN, Mihaela et al. Actuality of Bankruptcy Prediction Models used in Decision Support System. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 8, n. 3, p. 375-383, june 2013. ISSN 1841-9844. Available at: <>. Date accessed: 14 july 2020. doi:


bankruptcy prediction models - BPM, multiple discriminant analysis - MDA, decision support system - DSS, crisis management