Uncertain BCC Data Envelopment Analysis Model with Belief Degree: A case study in Iranian Banks

Subject Areas : International Journal of Industrial Mathematics

محمد جمشیدی ¹ , مسعود صانعی ^{2 *} , علی محمودی راد ³ , قاسم توحیدی ⁴ , فرهاد حسین زاده لطفی ⁵

1 - Department of Mathematics, Central Tehran Branch, Islamic Azad University, Central Tehran, Iran.
2 - Department of Mathematics, Central Tehran Branch, Islamic Azad University, Central Tehran, Iran.
3 - Department of Mathematics, Masjed-Soleiman Branch, Islamic Azad University, Iran.
4 - Department of Mathematics, Central Tehran Branch, Islamic Azad University, Central Tehran, Iran.
5 - Department of Mathematics, Science and Rsearch Branch, Islamic Azad University, Tehran, Iran.

Received: 2020-03-17 Accepted : 2021-01-18 Published : 2021-07-01

Keywords: BCC model, Iranian ‎Banks, Data Envelopment Analysis, Belief degree, Uncertainty, uncertainty theory,

Abstract :

The BCC model is studied in this paper in an uncertain environment where uncertain inputs and outputs were belief degree-based uncertainty‚ useful for the cases for which no historical information of an uncertain event is available. As the solution method‚ the uncertain BCC model was converted to a crisp form using two approaches, separately. Finally, an applied example regarding the Iranian Banking system is presented to document the proposed models.

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