Fermatean fuzzy step-wise Weight Assessment Ratio Analysis (SWARA) and its application to prioritizing indicators to achieve sustainable development goal-7

被引：50

作者：

Ayyildiz, Ertugrul ^{[1
]}

机构：

[1] Karadeniz Tech Univ, Dept Ind Engn, TR-61080 Trabzon, Turkey

来源：

RENEWABLE ENERGY | 2022年 / 193卷

关键词：

Sustainable development goals; Renewable energy; Fermatean fuzzy sets; SWARA; MCDM; GROUP DECISION-MAKING; CLIMATE-CHANGE; RENEWABLE ENERGY; ENVIRONMENTAL-POLLUTION; RISK-ASSESSMENT; SELECTION; PERFORMANCE; EFFICIENCY; OPERATORS; POVERTY;

D O I：

10.1016/j.renene.2022.05.021

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The Sustainable Development Goals have been developed with the aim of ensuring that no individual living in the world is left behind from the social, economic and environmental gains achieved. Accessible and Clean Energy, the Sustainable Development Goal-7 (SDG-7), aims to provide accessible, reliable and sustainable energy for all. In this study, SDG-7 and its indicators are analyzed with multi-criteria decision making (MCDM) approach. This study reveals a novel MCDM model that can be used in prioritizing indicators to achieve the United Nation's sustainable development goals. For this purpose, one of the MCDM models, Stepwise Weight Assessment Ratio Analysis (SWARA) is extended under Fermatean Fuzzy (FF) environment. By this way, FF-SWARA is proposed into the literature as a novel weighting methodology. Then, indicators are prioritized by FF-SWARA based on expert opinions. As a result, "access to electricity" and "renewable energy share" are determined as the most important indicators to achieve SDG-7. Also, managerial and practical insights are presented for Turkey. (c) 2022 Elsevier Ltd. All rights reserved.

引用

页码：136 / 148

页数：13

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