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دانشگاه آزاد اراک
[ 1 ] - Ranking DMUs by ideal points in the presence of fuzzy and ordinal data
Envelopment Analysis (DEA) is a very eective method to evaluate the relative eciency of decision-making units (DMUs). DEA models divided all DMUs in two categories: ecient and inecientDMUs, and don't able to discriminant between ecient DMUs. On the other hand, the observedvalues of the input and output data in real-life problems are sometimes imprecise or vague, suchas interval data, ordinal da...
[ 2 ] - Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds
On account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking i...
[ 3 ] - Introducing a new inefficiency source due to inappropriate price selection in a Non-Competitive Environment in Data Envelopment Analysis (a case study in the Imam Khomeini Oil Refinery Company of Shazand in Iran)
Data Envelopment Analysis (DEA) is an appropriate tool for estimating various types of efficiency including Cost Efficiency (CE). Identifying and identifying inefficiency resources plays an important role in analyzing unit performance in order to plan for improving the status of Decision Making Units (DMUs). Now , if information on the inputs and outputs and pricing information of the evaluated...
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