Predicting performance in ASEAN banks: an integrated fuzzy MCDM-neural network approach

Author:

Wanke Peter1,Kalam Azad Md. Abul2,Barros C. P.3,Hadi-Vencheh Abdollah4

Affiliation:

1. COPPEAD Graduate Business School; Federal University of Rio de Janeiro; Rua Paschoal Lemme, 355 21949-900 Rio de Janeiro Brazil

2. Department of Applied Statistics, Faculty of Economics and Administration; University of Malaya; 50603 Kuala Lumpur Malaysia

3. ULisboa and CEsA - Research Centre on African, Asian and Latin American Studies; ISEG - Lisbon School of Economics and Management; Rua Miguel Lupi, 20 1249-078 Lisbon Portugal

4. Department of Mathematics, Isfahan (Khorasgan) Branch; Islamic Azad University; Isfahan Iran

Funder

Calouste Gulbenkian Foundation

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference135 articles.

1. Evaluating investments in advanced manufacturing technology: a fuzzy set theory approach;Abdel-Kader;British Journal of Accounting,2001

2. Interactive fuzzy programming for decentralized two-level linear fractional programming (DTLLFP) problems;Ahlatcioglu;Omega,2007

3. Albayrak , E. Y. C Erensal 2005 Proceedings of the International Conference on Computers and Industrial Engineering

4. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy;Altman;Journal of Finance,1968

5. ZETATM analysis: a new model to identify bankruptcy risk of corporations;Altman;Journal of Bank. & Finance,1977

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