in this paper, presenting two simple methods for ranking of efficient dmus in dea models that included to add one virtual dmu as ideal dmu and is using the additive model. note that, we use an ideal point just for comparing efficient dmus with. although these methods are simple, they have ability for ranking all efficient dmus, extreme points and the others, also they are capable of ranking the...

The purpose of this study is to utilize a new method for ranking extreme efficient decision making units (DMUs) based upon the omission of these efficient DMUs from reference set of inefficient and non-extreme efficient DMUs in data envelopment analysis (DEA) models with constant and variable returns to scale. In this method, an L2norm is used and it is believed that it doesn't have any existin...

One of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units (DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights. In this...

Multi-criteria decision-making (MCDM) issues related to hydrogen energy usually involve weight consideration of evaluation criteria, ambiguous information provided by experts, and lacking or incomplete information. Conventionally, the MCDM calculation method cannot effectively simultaneously process To address this issue, study proposed a novel general data envelopment analysis (DEA)-based appr...

the ahp/dea methodology is an integration of analytical hierarchical process (ahp) and data envelopment analysis. this method uses the capabilities of both ahp and dea. however, it has some problems: it illogically compares two decision-making units in a data envelopment analysis (dea) model, it is not compatible with dea ranking in the case of multiple inputs/multiple outputs, and it leads to ...

One hears that the credit ranking score has increased technical efficiency in financial holding companies, when a data envelopment analysis (DEA) is employed. Our empirical results show that the credit ranking scores will obviously affect the estimated results of efficiency measurement in Taiwan’s financial holding companies. Additionally, the effects on technical inefficiency could be attribut...

There are several methods to ranking DMUs in Data Envelopment Analysis (DEA) and candidates in voting system. This paper proposes a new two phases method based on DEA’s concepts. The first phase presents an aspiration rank for each candidate and second phase propose final ranking.

In many real applications, the data of production processes can't be precisely measured.We develop some fuzzy versions of the classical DEA models (in particular, the CCRmodel) by using some ranking methods based on the comparison of cuts. Our approachescan be seen as an extension of the DEA methodology. The provides users and practitionerswith models which represent some real life processes mo...

Inthis article we offer a method of ranking contractors by using DEA based onanalysis deficit and AHP. The process of hierarchical analysis (AHP) byproviding scales from paired comparison matrix, performs the contractor’sprioritizing choice. But AHP has some problems and to solve those problems,Jahanshahloo and his colleagues presented a new model which uses DEA andstandard deviation. In this a...