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A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era
Soft Computing ( IF 3.1 ) Pub Date : 2020-09-03 , DOI: 10.1007/s00500-020-05294-9
Ahmet Çalık

Advances in information and communication technology have created innovator technologies such as cloud computing, Internet of Things, big data analysis and artificial intelligence. These technologies have penetrated production systems and converted them smart. However, this transformation did not only affect production systems, but also differentiated supplier selection processes. In the supplier selection process, the usage of new technologies along with traditional and green criteria extensively has been investigated in recent years. This paper aims to develop a new group decision-making approach based on Industry 4.0 components for selecting the best green supplier by integrating AHP and TOPSIS methods under the Pythagorean fuzzy environment. In the proposed approach, judgments of different experts are expressed by linguistic terms based on Pythagorean fuzzy numbers. The interval-valued Pythagorean Fuzzy AHP method is utilized to determine the criteria weights. The Pythagorean Fuzzy TOPSIS method based on the distances of suppliers is applied to obtain the ranking of the suppliers and determine the most suitable one. Finally, a real case study on an agricultural tools and machinery company is presented to indicate the effectiveness and accuracy of the proposed selection approach.



中文翻译:

工业4.0时代绿色供应商选择的新型毕达哥拉斯模糊AHP和模糊TOPSIS方法。

信息和通信技术的进步创造了创新技术,例如云计算,物联网,大数据分析和人工智能。这些技术已经渗透到生产系统中,并使其智能化。但是,这种转变不仅影响生产系统,而且也影响了差异化的供应商选择过程。在供应商选择过程中,近年来已广泛研究了新技术以及传统和绿色标准的使用。本文旨在开发一种新的基于工业4.0组件的群体决策方法,通过在勾股模糊环境下整合AHP和TOPSIS方法来选择最佳绿色供应商。在建议的方法中,基于毕达哥拉斯模糊数的语言术语表达了不同专家的判断。利用区间值勾股模糊AHP方法确定标准权重。运用基于供应商距离的毕达哥拉斯模糊TOPSIS方法获得供应商的排名并确定最合适的供应商。最后,对农业工具和机械公司进行了实际案例研究,以表明所提出的选择方法的有效性和准确性。

更新日期:2020-09-05
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