Uncertain BCC Data Envelopment Analysis Model with belief theory: A case study in Iranian Banks
Publish place: 3th national Conference on Management and Fuzzy Systems
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICMFS03_040
تاریخ نمایه سازی: 19 فروردین 1400
Abstract:
Data Envelopment Analysis (DEA) is recognized as a robust analytical tool extensively utilized in measuring the relative efficiency of a group of decision-making units (DMUs) with multiple inputs and outputs. The DEA models require inputs and outputs equipped with precise information. However‚ in real-world situations‚ inputs and outputs may be unstable and complicated‚ thus unable to be accurately measured. This problem resulted in the investigation of uncertain DEA models. The BCC model was 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 of expected value method (EV) and expected value and chance-constrained method (EVCC) separately. Finally, an applied example regarding the Iranian Banking system was presented to document the proposed models.
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Authors
Mohammad Jamshidi
Department of Mathematics‚ Central Tehran Branch‚ Islamic Azad University‚ Central Tehran‚ Iran
Masoud Saneie
Department of Mathematics‚ Central Tehran Branch‚ Islamic Azad University‚ Central Tehran‚ Iran
Ali Mahmoodirad
Department of Mathematics‚ Masjed-Soleiman Branch‚ Islamic Azad University‚ Masjed-Soleiman‚ Iran