A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions

Mohsen Rostamy-Malkhalifeh; Elham Poudineh; Ali Payan

A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions

Publish place: Control and Optimization in Applied Mathematics، Vol: 3، Issue: 2

Publish Year: 1397

Type: Journal paper

Language: English

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https://civilica.com/doc/1605919

Document National Code:

JR_COAM-3-2_006

Index date: 19 February 2023

A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions abstract

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.

A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions Keywords:

Network data envelopment analysis‎ , ‎Revenue efficiency‎ , ‎Full fuzzy linear programming‎ , ‎Ranking function

A Fully Fuzzy Method of Network Data Envelopment Analysis for Assessing Revenue Efficiency Based on Ranking Functions authors

Mohsen Rostamy-Malkhalifeh

Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran

Elham Poudineh

Department of mathematics, kerman Branch, Islamic azad university, kerman.

Ali Payan

Department of mathematics, zahedan branch, Islamic azad university, zahedan.

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