Ranking decision making units (DMUs) is one of the most important applications of data envelopment analysis (DEA). In this paper, we exploit the power of individual appreciativeness in developing a methodology that combines crossevaluation, preference voting and ordered weighted averaging (OWA). We show that each stage of the proposed methodology enhances discrimination among DMUs while offerin...

Article history: Received 5 January 2014 Received in revised format 8 March 2014 Accepted 11 March 2014 Available online 12 March 2014 Measuring the relative efficiency of banking industry has been a popular subject among both practitioners and academicians. Data envelopment analysis (DEA) has been widely applied for different purposes. This paper presents an empirical investigation to measure ...

This article addresses the area of decision making for information systems (IS). We recognize the great demand for methods and techniques that can be of practical help by presenting a new, conceptual approach, the profile distance method, to support the IS selection problem. This approach combines the merits of two prominent concepts individually applied in decision making: the utility ranking ...

Data envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted into a strong quantitative and analytical tool to measure and evaluate performance. In an article written by Toloo et al. (2009...

in this paper, by introducing two virtual decision-making units (dmus) called ideal dmu (idmu) and anti-ideal dmu (admu) with fuzzy inputs-outputs, the efficiency evaluation of dmus are done by fuzzy data envelopment analysis (fdea). therefore, we evaluate dmus from the perspective of the best and worst possible relative efficiency. for each dmu two efficiencies are calculated while inputs and ...

evaluation of corporate performance has been one of the main issues in managing decision making. nowadays, evaluation of the suppliers is a completely strategic process because organizations rarely change their suppliers. thesuppliers also do their best to remain stable in the loop of supply chain. hence, it is important to evaluate the suppliers and not something to be done once at a time. it ...

As we know, in evaluating of DMUs some of them might be efficient, so ranking of them have a high significant. One of the ranking methods is cross-efficiency. Cross efficiency evaluation in data envelopment analysis (DEA) is a commonly used skill for ranking decision making units (DMUs). Since, many studies ignore the intra-organizational communication and consider DMUs as a black box. For sign...

Abstract Data Envelopment Analysis (DEA) can be regarded as a useful management tool to the assessment evaluation of decision making units (DMUs) using multiple inputs to produce multiple outputs. In some cases, to evaluate the efficiency having imprecise inputs and outputs such as fuzzy or interval data the efficiency of DMUs won’t be exact as well. Most researches have been conducted were bas...

Nowadays most of manufacturing firms in accordance with continuous changes in the market and the today’s competitiveness world are competing for meeting demand, increasing quality and decreasing costs. For reaching these goals, it is necessary to select a suitable flexible manufacturing system (FMS) for the most of manufactures. The aim of this paper is applying a method for evaluating the flex...

As a dynamic, temporary alliance, virtual enterprise plays an important role for firms to face the global competition. Among many actions in the virtual enterprise running, virtual enterprise construction is the one which impacts virtual enterprise performance most direct and deeply, however, partner selection decision is the key of the virtual enterprise construction. This paper mainly helps t...