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The goal of multi-attribute decision-making problems is the ranking of units. In real world, we usually deal with in inexact data. So, there are various ways for ranking of decision making units in fu...
Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system. Furthermore DEA is a mathe...
The existing DEA model introduced for resource allocation that considered radial reductions of the total consumption of every input and total output production is guaranteed not to decrease defined fo...
Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Traditional studies in data envelopment analysis (DEA) view systems as...
Basic-DEA models have ability to calculate performance targets for inefficient DMUs which are used for efficiency improvement approaches. Unfortunately, these improvement approaches aren't selective a...
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 case...
In this paper, we suppose a method for analyzing sensitivity and stability of all the decision making units, while inputs and outputs are interval data. Therefore, for estimating radius of stability o...
An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant ret...
Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Traditional studies in data envelopment analysis (DEA) view systems as...
One of the interesting topics in data envelopment analysis is the sensitivity analysis of the decision making units, under evaluation. In this paper we present a new method for sensitivity analysis of...
In this paper, at first we introduce a multi-activity network DEA with fuzzy inputs and outputs (MNFDEA) then we make production possibility set with defined constrains. Objective function of this mul...
Sensitivity analysis in DEA is used for improving the efficiency scores of inefficient DMUs for which the efficient units remain unchanged. This paper introduces a generalized sensitivity analysis DEA...
In this paper we present a relationship between efficient solution in Multi-Objective Integer Linear Programming (MOILP) and Data Envelopment Analysis (DEA). The presented paper, develops the J.W. You...
Quasi-fixed inputs are incorporated into dynamic DEA, A unique feature of the quasi-fixed inputs is that those are considered as outputs at the current, while being treated as inputs at the next perio...
If the inputs and outputs are fuzzy numbers, the DMUs cannot be easily evaluated and ranked using the obtained efficiency scores. In this paper, a new idea based on interactive method for ranking of D...

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