Forecasting the Confidence Interval of Efficiency in Fuzzy DEA
نویسندگان
چکیده
منابع مشابه
assessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
Midterm Energy Forecasting using Fuzzy Logic: A comparison of confidence interval estimation techniques
The modern methods for power system load and energy prediction are usually based on artificial neural networks and fuzzy logic, which present satisfactory results. However, the estimation of the confidence intervals can not be applied directly, unlike to the classical forecasting methods. The objective of this paper is to present an optimized fuzzy logic method for midterm energy forecasting, w...
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Capability indices compare the actual performance of a manufacturing process to the desired performance. In practice these indices are estimated using sample data, often with quite small sample sizes. Thus, it is of interest to obtain confidence limits for actual capability index given a sample estimate. Most of the traditional methods for assessing the capability of manufacturing process are d...
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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: Operations Research and Decisions
سال: 2021
ISSN: 2081-8858,2391-6060
DOI: 10.37190/ord210103