TY - JOUR ID - 6723 TI - A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions JO - Control and Optimization in Applied Mathematics JA - COAM LA - en SN - 2383-3130 AU - Rostamy-Malkhalifeh, Mohsen AU - Poudineh, Elham AU - Payan, Ali AD - Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran AD - Department of mathematics, kerman Branch, Islamic azad university, kerman. AD - Department of mathematics, zahedan branch, Islamic azad university, zahedan. Y1 - 2018 PY - 2018 VL - 3 IS - 2 SP - 77 EP - 96 KW - Network data envelopment analysis‎ KW - ‎Revenue efficiency‎ KW - ‎Full fuzzy linear programming‎ KW - ‎Ranking function DO - 10.30473/coam.2019.46226.1115 N2 - The purpose of this paper is to evaluate the revenue efficiency in the fuzzy network data envelopment analysis‎. ‎Precision measurements in real-world data are not practically possible‎, ‎so assuming that data is crisp in solving problems is not a valid assumption‎. ‎One way to deal with imprecise data is fuzzy data‎. ‎In this paper‎, ‎linear ranking functions are used to transform the full fuzzy efficiency model into a precise linear programming problem and‎, ‎assuming triangular fuzzy numbers‎, ‎the fuzzy revenue efficiency of decision makers is measured‎. ‎In the end‎, ‎a numerical example shows the proposed method. UR - https://mathco.journals.pnu.ac.ir/article_6723.html L1 - https://mathco.journals.pnu.ac.ir/article_6723_9de7a236e8cddde916d6cae4a73d36c6.pdf ER -