10.57647/

The Position of Multiobjective Programming Methods in Fuzzy Data Envelopment Analysis

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  • Parichehr Zamani*1,
  1. Faculty of Engineering, Qom Branch, Islamic Azad University, Qom, Iran.

Revised: 13-02-2020

Accepted: 20-05-2020

Published in Issue 20-06-2020

Copyright (c) 2024 International Journal of Mathematical Modeling & Computations

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Zamani, P. (2020). The Position of Multiobjective Programming Methods in Fuzzy Data Envelopment Analysis. International Journal of Mathematical Modelling & Computations, 10(2), 95-101. https://doi.org/10.57647/
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Abstract

Traditional Data Envelopment Analysis (DEA) models evaluate the efficiency of decision making units (DMUs) with common crisp input and output data. However, the data in real applications are often imprecise or ambiguous. This paper transforms fuzzy fractional DEA model constructed using fuzzy arithmetic, into the conventional crisp model. This transformation is performed considering the goal programming that is one of the Multi Objective Programming (MOP) methods. Therefore, in this research the one linear programming model measures the fuzzy efficiencies of DMUs with fuzzy input and fuzzy output data.
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