DEA with Missing Data: An Interval Data Assignment Approach
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 391
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JOIE-8-17_004
تاریخ نمایه سازی: 22 آبان 1397
Abstract:
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
Keywords:
Authors
Reza Kazemi Matin
Associate Professor, Department of Mathematics, Islamic Azad University, Karaj Branch, Karaj, Iran
Roza Azizi
MSc, Department of Mathematics, Islamic Azad University, Karaj Branch, Karaj , Iran