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Information Journal Paper

Title

DEA WITH MISSING DATA: AN INTERVAL DATA ASSIGNMENT APPROACH

Pages

  31-36

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.

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    • Cite

    APA: Copy

    KAZEMI MATIN, REZA, & AZIZI, ROZA. (2015). DEA WITH MISSING DATA: AN INTERVAL DATA ASSIGNMENT APPROACH. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 8(17), 31-36. SID. https://sid.ir/paper/668685/en

    Vancouver: Copy

    KAZEMI MATIN REZA, AZIZI ROZA. DEA WITH MISSING DATA: AN INTERVAL DATA ASSIGNMENT APPROACH. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2015;8(17):31-36. Available from: https://sid.ir/paper/668685/en

    IEEE: Copy

    REZA KAZEMI MATIN, and ROZA AZIZI, “DEA WITH MISSING DATA: AN INTERVAL DATA ASSIGNMENT APPROACH,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 8, no. 17, pp. 31–36, 2015, [Online]. Available: https://sid.ir/paper/668685/en

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