Inverse DEA Using Enhanced Russell Measure in the Presence of Fuzzy Data

محورهای موضوعی : مجله بین المللی ریاضیات صنعتی

S. Ghobadi ¹ (Department of Mathematics, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Isfahan, Iran.)

تاریخ دریافت : 1393/08/23 تاریخ پذیرش : 1397/02/27 تاریخ انتشار : 1397/01/12

کلید واژه: Data envelopment analysis (DEA), Multiple-Objective Linear Programming(MOLP), Fuzzy Decision Making, Inverse DEA, Enhanced Russell(ER)-Measure,

چکیده مقاله :

The present study deals with the inverse DEA using the non-radial Enhanced Russell (ER)-measure in the presence of fuzzy data. This paper proposes a technique to treat the fuzzy data in the problem of simultaneous estimation of input-output levels. Necessary and sufficient conditions are provided for ER-measure maintaining in the presence of fuzzy data. A numerical example with real data is presented to show the accuracy of the proposed method.