Evaluation of the Performance in DEA-R Models Based on Common Set of Weights
محورهای موضوعی : فصلنامه ریاضی
1 - Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran.
کلید واژه: Data envelopment analysis, Ratio data, Common set of weights, Weight flexibility, Efficiency.,
چکیده مقاله :
The ratio data envelopment analysis (DEA-R) model enables the analyst to easily translate some of the significant types of experts’ opinions into weight restrictions, which are not easily modeled with the classical data envelopment analysis models. In fact, the DEA-R model considered a combination of the DEA methodology, and ratio analysis. This paper uses the common set of weights (CSW) method to control the total weight flexibility in the DEA-R and proposes a CSW DEA-R method. The proposed CSW DEA-R method improves the discrimination power of the DEA-R method. It can be used to identify the CSW pseudo-inefficient DMUs in DEA. Then, we compare the proposed CSW DEA-R method with the DEA-R and DEA approaches in the literature; and demonstrate the applicability of the proposed method with an empirical example.
The ratio data envelopment analysis (DEA-R) model enables the analyst to easily translate some of the significant types of experts’ opinions into weight restrictions, which are not easily modeled with the classical data envelopment analysis models. In fact, the DEA-R model considered a combination of the DEA methodology, and ratio analysis. This paper uses the common set of weights (CSW) method to control the total weight flexibility in the DEA-R and proposes a CSW DEA-R method. The proposed CSW DEA-R method improves the discrimination power of the DEA-R method. It can be used to identify the CSW pseudo-inefficient DMUs in DEA. Then, we compare the proposed CSW DEA-R method with the DEA-R and DEA approaches in the literature; and demonstrate the applicability of the proposed method with an empirical example.
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