DEA with Missing Data: An Interval Data Assignment Approach

Journal of Optimization in Industrial Engineering

مقاله 4، دوره 8، شماره 17، خرداد 2015، صفحه 31-36   

نویسندگان

Reza Kazemi Matin^{* 1}؛ Roza Azizi²

¹Associate Professor, Department of Mathematics, Islamic Azad University, Karaj Branch, Karaj, Iran

²MSc, Department of Mathematics, Islamic Azad University, Karaj Branch, Karaj , Iran

چکیده

In the classical data envelopment analysis (DEA) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. In recent years, there are few researches on handling missing data. This paper suggests a new interval based approach to apply missing data, which is the modified version of Kousmanen (2009) approach. First, the proposed approach suggests using an acceptable range for missing inputs and outputs, which is determined by the decision maker (DM). Then, applying the least favourable bounds of missing data along with using the proposed range is suggested in estimating the production frontier.  A data set is used to illustrate the approach.

کلیدواژه‌ها

Data envelopment analysis؛ Missing inputs؛ Missing outputs؛ Range

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