Ranking of decision-making units in Pythagorean fuzzy CCR model using data envelopment analysis

被引：0

作者：

Saini, Namita ^{[1
]}

Gandotra, Neeraj ^{[1
]}

Bajaj, Rakesh ^{[2
]}

Dwivedi, R. P. ^{[1
]}

机构：

[1] Shoolini Univ, Solan 173229, HP, India

[2] Jaypee Univ Informat Technol, Solan 173215, HP, India

来源：

MATERIALS TODAY-PROCEEDINGS | 2020年 / 33卷

关键词：

CCR model; Data envelopment analysis; Entropy; Multicriteria decision making; Pythagorean fuzzy set; Ranking; EFFICIENCY; ENTROPY;

D O I：

10.1016/j.matpr.2020.06.243

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Data envelopment analysis is a mathematical linear programming based method where the overall effectiveness of a set of decision-making units is assessed for accomplishing the task. In this communication, we have projected Pythagorean fuzzy entropy DEA model with the inclusion of the Pythagorean fuzzy information which has a more extensive sense of flexibility in contrast with the intuitionistic fuzzy information. Furthermore, an approach to solve a decision-making problem with Pythagorean fuzzy information has been well presented with a defined set of weights. A numerical example based on evaluation of five government universities has also been provided for illustrating the projected methodology. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：3884 / 3888

页数：5

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