1
Assistant Professor, Dep. of Mathematics, Islamic Azad University, South- Tehran Branch, Tehran, Iran
2
Assistant Professor, Dep. of Mathematics, Islamic Azad University, Tehran-Central Branch, Tehran, Iran
Abstract
This paper introduces discretionary imprecise data in Data Envelopment Analysis (DEA) and discusses the efficiency evaluation of Decision Making Units (DMUs) with non-discretionary imprecise data. Then, suggests a method for evaluation the efficiency of DMUs with non-discretionary imprecise data. When some inputs and outputs are imprecise and non-discretionary, the DEA model becomes non-linear programming problem. By a Theorem, we use the translation of imprecise data into exact data and then use the standard linear DEA model for evaluating DMUs with non-discretionary and imprecise data, which is the generalized form of envelopment form in input oriented of CCR model. To illustrate the proposed method, a numerical example with non-discretionary imprecise data is solved.
Razavyan, S., Tohidi, G. (2011). Non-discretionary imprecise data in efficiency Measurement. Journal of Industrial Engineering, International, 7(12), 45-51.
MLA
S Razavyan; G Tohidi. "Non-discretionary imprecise data in efficiency Measurement". Journal of Industrial Engineering, International, 7, 12, 2011, 45-51.
HARVARD
Razavyan, S., Tohidi, G. (2011). 'Non-discretionary imprecise data in efficiency Measurement', Journal of Industrial Engineering, International, 7(12), pp. 45-51.
VANCOUVER
Razavyan, S., Tohidi, G. Non-discretionary imprecise data in efficiency Measurement. Journal of Industrial Engineering, International, 2011; 7(12): 45-51.
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