The survey of data envelopment analysis models in fuzzy stochastic environments
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_RIEJ-8-4_005
تاریخ نمایه سازی: 30 فروردین 1400
Abstract:
One of the best techniques for evaluating the performance of organizations is data envelopment analysis. Data Envelopment Analysis (DEA) is a non-parametric method for evaluating the performance of decision-making units (DMUs) that recognizes the relative performance of DMUs based on mathematical programming. The classic DEA model was initially formulated for optimal inputs and outputs, But in real-world problems, the values observed from input and output data are often ambiguous and random. In fact, decision-makers may be faced with a specific hybrid environment where there are fuzziness and randomness in the problem. To overcome this problem, data envelopment analysis models in the random fuzzy environment have been proposed. Although the DEA has many advantages, one of the disadvantages of this method is that the classic DEA does not actually give us a definitive conclusion and does not allow random changes in input and output. In this research data envelopment analysis models in fuzzy random environments is reviewed.
Keywords:
Data Envelopment Analysis , Decision Making Unit , performance , Random Fuzzy Data Envelopment Analysis
Authors
F. Z. Montazeri
Department of Industrial Engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.
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