A New Approach to Measuring Congestion in DEA with Common Weights
نویسندگان
چکیده
منابع مشابه
Deriving Common Set of Weights in the Presence of the Undesirable Inputs: A DEA based Approach
Data Envelopment Analysis (DEA) as a non-parametric method for efficiency measurement allows decision making units (DMUs) to select the most advantageous weight factors in order to maximize their efficiency scores. In most practical applications of DEA presented in the literature, the presented models assume that all inputs are fully desirable. However, in many real situations undesirable inpu...
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in this paper it has been tried to present a model by usingsome changes in the classical dea models and combining these modelswith fuzzy models to eliminate these weaknesses. inputs and outputs arerecognized by using mcdm and ahp techniques and experts views. inthe next step, the gathered data is compounded by fuzzy techniques andentered in the special dea model after changing to the crisp amou...
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Data envelopment analysis (DEA) is a method to measure relative efficiency of a set of decision-making units (DMUs) which uses multiple inputs and produces multiple outputs. In the conventional DEA, crisp inputs and outputs are fundamentally necessary. But the observed values of inputs and outputs in real-world problems are sometimes imprecise. Thus, performance measurement often needs to be do...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2015
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2015/v8i6/61948