A new reliable performance evaluation model: IFB‑IER–DEA

A new reliable performance evaluation model: IFB‑IER–DEA
عنوان نشریه: 
درجه علمی نشریه: 
دوره: 
۵۶
شماره: 
۱
شماره صفحه (از - تا): 
۱۴-۳۱
چکیده

Data envelopment analysis (DEA) is a well-known performance evaluation model for measuring the relative efficiency of multiple homogeneous decision making units (DMUs).‎ Input/output of the DMUs can be uncertain especially when they are obtained from subjective human judgments.‎ In this paper, Evidential Reasoning approach with interval assessment score and linguistic interval fuzzy belief degree (IFB-IER approach) is proposed to deal with the uncertainties.‎ This approach does not restrict experts to give a precise point and provides more reliable and realistic performance evaluation.‎ Eventually, the IFB-IER data are converted to standard interval data.‎ Then, the efciency of the DMUs is calculated using interval DEA model and Anderson Peterson model is applied to rank them.‎ Finally, a numerical example is given to illustrate the validity and applicability of the proposed model.‎

استناد: 

Moslemi, Shiva, Hamidreza Izadbakhsh, and Marzieh Zarinbal Masouleh.‎ 2019.‎ A new reliable performance evaluation model: IFB‑IER–DEA.‎ OPSEARCH ۵۶ (۱): ۱۴-۳۱.

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