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 -