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Journal of Optimization
Volume 2016, Article ID 5259817, 7 pages
http://dx.doi.org/10.1155/2016/5259817
Research Article

Prioritization of the Factors Affecting Bank Efficiency Using Combined Data Envelopment Analysis and Analytical Hierarchy Process Methods

Department of Mathematics, Islamic Azad University, Ayatollah Amoli Branch, Amol, Iran

Received 10 December 2015; Revised 3 April 2016; Accepted 14 April 2016

Academic Editor: Adil M. Bagirov

Copyright © 2016 Mehdi Fallah Jelodar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Motameni, M. Javadzadeh, and M. Tizfahm, Strategic Management Studies, vol. 1 of Strategic Management Studies, Springer, Berlin, Germany, 2010.
  2. M. Mirjalili, Offering an integrated algorithm based on multiple analysis methods and fuzzy DEA method to identify and improve the productivity of bank employees [M.S. thesis], Tehran University, 2006.
  3. S. Mansoori, Comparison between AHP and DEA approaches using prioritized KPI'S key performance indicators for companies listed on the Stock Exchange [M.S. thesis], Imam Khomeini International University, 2009.
  4. T.-C. Chang and Y.-H. Chiu, “Affecting factors on risk-adjusted efficiency in Taiwan's banking industry,” Contemporary Economic Policy, vol. 24, no. 4, pp. 634–648, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. V. Timothy, A study on the determinants of commercial bank performance in Tanzania: a resource-based view [doctoral dissertation], Liaoning University, Shenyang, China, 2010.
  6. R. V. Rao and J. P. Davim, “A decision-making framework model for material selection using a combined multiple attribute decision-making method,” International Journal of Advanced Manufacturing Technology, vol. 35, no. 7-8, pp. 751–760, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. O. Çakir, “On the order of the preference intensities in fuzzy AHP,” Computers & Industrial Engineering, vol. 54, no. 4, pp. 993–1005, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. B. Nepal, O. P. Yadav, and A. Murat, “A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development,” Expert Systems with Applications, vol. 37, no. 10, pp. 6775–6786, 2010. View at Publisher · View at Google Scholar
  9. M. R. Mehregan, Advanced Operations Research, Academic Books (Ketab-e-Daneshgahi), Tehran, Iran, 4th edition, 2008.
  10. A. Kryvko, M. Afsharian, and P. Reichling, Efficiency and Its Impact on the Performance of European Commercial Banks, Otto-Von-Guericke University—Department of Banking and Finance, 2011.
  11. M. D. Fethi and F. Pasiouras, Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques, 2010.
  12. R. Ramanathan, “Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process,” Computers & Operations Research, vol. 33, no. 5, pp. 1289–1307, 2006. View at Publisher · View at Google Scholar · View at Scopus