A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions
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.
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Designing a data envelopment analysis model with a network structure and undesirable output for allocating fixed costs in bank branches
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International Journal of Finance and Managerial Accounting, Summer 2026 -
Ranking the Components of Algebraic Thinking Model in Sixth-Grade Students during Coronavirus Pandemic Based on Fuzzy Analysis
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