Data Envelopment Analysis (DEA) is a technique for measuring the efficiency of a set of Decision Making Units (DMUs) with common data, but in general it is not practical. This paper presents a framework where DEA is used to measure overall profit efficiency with fuzzy data. Specifically, it is shown that as the inputs, outputs and price vectors are fuzzy numbers, the DMUs cannot be easily evalu...

The classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require more information about the data such as probability distribution function or data membership function, which in some cases may no...

The correlated models are introduced in this article regarding revenue efficiency and profit efficiency in dynamic network production systems. The proposed models are not only applicable in measuring efficiency of divisional, periodical and overall efficiencies, but recognizing the exact sources of inefficiency with respect to revenue and profit efficiencies. Two numerical examples, consisting ...

This study evaluates the efficiency of small and large for-profit hospitals using Data Envelopment Analysis (DEA). For this study, small for-profit hospitals are 35 beds or less which is consistent with the Federal designation of critical access hospitals (CAH). Large for-profit hospitals are 36 beds and greater. Results indicate overall efficiency in small for-profit hospitals was 60% in 2013....

We study the impact of special interest politics on competition for a multinational between two countries. We show that whether a country will win this competition is determined by both economic factors, which include for which country foreign direct investment will bring more national welfare, and in which country the multinational will make more profits; and to what extent each country’s gove...

to measure an unbiased farm-specific efficiency of individual dairy farmers, a shadow-price profit frontier adjusted for market distortion was applied to a sample of 860 iranian small intensive dairy farms surveyed in 2005-2006. this measure was then compared with that of unadjusted measure that assumes undistorted market. a multiple general linear model (glm) technique was applied to the data ...

data envelopment analysis (dea) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. it is based on solving linear programming problems. since 1978 when basic dea model was introduced many its modifications were formulated. among them are two or multi-stage models with serial or parallel structure often called net...