文章基本信息

标题：A Linear Goal Programming Model for Calculating Common Weights in Data Envelopment Analysis Problems
本地全文：下载
作者：Jamshid Salehi Sadaghiani ; Maghsoud Amiri ; Seyed Hossein Razavi 等
期刊名称：Industrial Management
印刷版ISSN：2008-5885
电子版ISSN：2423-5369
出版年度：2010
卷号：1
期号：2
页码：1-16
出版社：University of Tehran Electronic Journals Database
摘要：Data Envelopment Analysis (DEA) is a wide range of mathematical models that used for measuring the relative efficiency of a set of harmonic units whit similar inputs and outputs. This model calculates some different weight for input and output variables in each decision making model. This variation in similar weights caused some critiques to this method. From 1991 some linear and nonlinear models proposed to calculate a common set of weights for decision making units in DEA models. In this article also suggests a linear goal programming approach for this purpose and its application compared with other models in a numerical example. Linearity, applicability and meaningfully of estimated weights are some benefits of suggested model.
关键词：Data envelopment analysis;Multiple Objective Decision Making;performance Assessment;Relative Efficiency