Ioan Ban

Prof. Ioan Ban


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2011 in Computers & Mathematics with Applications
Verified
Journal Article
Closed access
IBIoan Ban
Ioan Ban
ABA. Brândaş
A. Brândaş
LCL. Coroianu
L. Coroianu
CNC. Negruţiu
C. Negruţiu
ONO. Nica
O. Nica

1 July 2012 in International Journal of Approximate Reasoning
Verified
Journal Article
Closed access
IBIoan Ban
Ioan Ban
LCLucian Coroianu
Lucian Coroianu

16 April 2020 in Technological and Economic Development of Economy
Verified
Journal Article
Open access
PDF file
IBIoan Ban
Ioan Ban
Ban OlimpiaBan Olimpia
Ban Olimpia
VBVictoria Bogdan
Victoria Bogdan
Claudia Diana Sabău-PopaClaudia Diana Sabău-Popa
Claudia Diana Sabău-Popa
DTDelia Tuse
Delia Tuse
We are interested in the hierarchy of the main Romanian companies in the manufacturing industry by considering eight financial and seven non-financial indicators. Thirty three listed companies, that are non-financial institutions, were selected for the study and in order to control the reliability of the data we used the Bucharest Stock Exchange database, official data published by the Romanian Ministry of Public Finance, and the annual reports released by the companies on their websites, collecting information for the years 2011–2015. Because the human thinking is subjective and ambiguous we prefer linguistic variables, converted afterwards in triangular fuzzy numbers, to represent the importance of indicators. Our method involves the calculation of the weights of individual or categories of indicators based on Fuzzy Analytic Hierarchy Process. Then, the level of performance for each company, separately for financial, non-financial and all indicators is obtained by TOPSIS method. We deduce an objective hierarchy of the companies on a rigorous basis, which is however dependent from the choice of indicators and the conversion scale of linguistic variables into triangular fuzzy numbers. Also, following the obtained results we concluded that the overall performance of companies for the analyzed period is significantly influenced by non-financial indicators.

1 November 2009 in Fuzzy Sets and Systems
Verified
Journal Article
Closed access
IBIoan Ban
Ioan Ban

1 November 2009 in Fuzzy Sets and Systems
Verified
Journal Article
Closed access
IBIoan Ban
Ioan Ban