基于松弛的整数数据非线性DEA模型:在伊朗伊斯兰阿扎德大学Karaj分校系中的应用

IF 0.7 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Operations Research and Decisions Pub Date : 2022-01-01 DOI:10.37190/ord220306
Z. Moazenzadeh, S. Saati, R. F. Saen, R. Matin, Sevan Sohraee
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引用次数: 0

摘要

尽管数据包络分析(Data Envelopment Analysis, DEA)假设输入和输出为非负实值,但在某些实际情况下,数据是整数值。在某些情况下,将分数值四舍五入到最接近的整数可能导致对效率的误导性评估,并且在某些情况下可能导致不可行的投影点。迄今为止,已经提出了各种径向和非径向模型。本文提出了一种基于松弛的非线性模型,该模型保证所有整数目标都有一个整数值参考点。在该模型下,每个目标的参考点都是可行的。这种方法的优点是不需要将答案四舍五入到最接近的整数值。并将该模型的计算结果与其他模型进行了比较。用一个例子来说明所建议的方法。
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A slacks-based nonlinear DEA model with integer data: an application to departments of the Islamic Azad University, Karaj Branch in Iran
Although Data Envelopment Analysis (DEA) assumes that inputs and outputs take non-negative real values, in some realworld cases, data are integer-valued. In some situations, rounding a fractional value to the closest integer can lead to a misleading evaluation of efficiency and in some cases may lead to an infeasible projection point. To date, various radial and non-radial models have been presented. This paper proposes a slacks-based non-linear model that guarantees an integer-valued reference point for all integer targets. Also, the reference point of each target is feasible under the proposed model. The lack of a need to round answers to the closest whole value is an advantage of this method. In addition, the results of this model are compared with other models. An example is used to clarify the suggested method.
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来源期刊
Operations Research and Decisions
Operations Research and Decisions OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
1.00
自引率
25.00%
发文量
16
审稿时长
15 weeks
期刊最新文献
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