نتایج جستجو برای: while conventional data envelopment analysis models set targets separately for each decision making unit
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Selection of an appropriate set of Information System (IS) projects is a critical business activity which is very helpful to all organizations. In this paper, after describing real IS project selection problem of Iran Ministry of Commerce (MOC), we introduce two Data Envelopment Analysis (DEA) models. Then, we show applicability of introduced models for identifying most efficient IS project fro...
Data Envelopment Analysis (DEA) is a mathematical programming-based approach for evaluates the relative efficiency of a set of DMUs (Decision Making Units). The relative efficiency of a DMU is the result of comparing the inputs and outputs of the DMU and those of other DMUs in the PPS (Production Possibility Set). Also, in Data Envelopment Analysis various models have been developed in order to...
Data Envelopment Analysis (DEA) deals with evaluating a set of decision-making units (DMUs) based on nonparametric mathematical approaches. In classical DEA models, the given set of factors of DMUs is divided into two categories, inputs and outputs, while in some practical problems there are some measures whose membership to these categories is unclear. It means these factors treat different in...
The performances of decision-making units (DMUs) can be evaluated from two different points of view optimistic and pessimistic and accordingly, two different efficiencies can be calculated for each DMU: the best relative efficiency and the worst relative efficiency. In the conventional methods of data envelopment analysis (DEA), only the best relative efficiency is evaluated. It is argued h...
In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.
The existing Data Envelopment Analysis models for evaluating the relative eciency of a set of decision making units by using various inputs to produce various outputs are limited to crisp data in crisp production possibility set. In this paper, rst of all the production possibility set is extended to the fuzzy production possibility set by extension principle in constant return to scale, and th...
This research seeks to develop resource and goals allocation planning models in a focused decision-making environment with a parallel multi-component network structure in a case study. In such an environment, the problem of resource and goals allocation planning, the determination of the input and output of each of the decision-making units in achieving the goals of the system is such that the ...
data envelopment analysis (dea) is a mathematical programming method in operations research that can be used to distinguish between efficient and inefficient decision making units (dmus). however, the conventional dea models do not have the ability to rank the efficient dmus. this article suggests bootstrapping method for ranking measures of technical efficiency as calculated via non-radial mod...
abstract this study examined the relationship between noticing pronunciation and the improvement pronunciation by administering a 50 item story, as proficiency- test in order to investigate the effectiveness of noticing pronunciation on the improvement of pronunciation. accordingly 60 qualified students were selected and assigned to the two groups of experimental and control randomly, each gr...
Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units. Unlike the standard models, which assume decision-making units to be a black box, network data envelopment analysis focuses on the internal structure of these units. Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage, producin...
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