Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval‐Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF‐CoCoSo). This study is the first effort that used the fuzzy sets theory and decision‐making technique (entitled IVIF‐CoCoSo) to rank and evaluate the indicators of green growth to sustainable manufacturing in the manufacturing sector. To reach the study objectives, a total of five indicators and 30 sub‐indicators for evaluation of green growth are collected from the existing literature review. Subsequently, this study has been extended using the IVIF‐CoCoSo approach for ranking, modeling, and evaluating the green growth indicators into sustainable manufacturing based on experts' opinions. The results of this study showed that the environmental and resource productivity of the economy indicators is more significant than the other indicators in the manufacturing sector. Moreover, findings confirmed the accuracy of the proposed method in solving the green growth problem, and comparison was also made between the results of the proposed method and some other Multi‐Criteria Decision Making (MCDM) methods.

中文翻译：

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评估绿色增长指标以实现可持续发展：一种新颖的扩展区间值直觉模糊组合折衷解决方案方法

近年来，绿色增长已成为跟踪可持续发展进展的著名有效方法。本文的主要目的是提出一种基于组合折衷解决方案（CoCoSo）和区间值直觉模糊集（IVIFS）的创新扩展方法。因此，它被称为IVIF组合妥协解决方案（IVIF-CoCoSo）。这项研究是首次尝试使用模糊集理论和决策技术（名为IVIF-CoCoSo）对制造业可持续发展的绿色增长指标进行排名和评估。为了达到研究目标，从现有文献综述中总共收集了五个指标和30个用于评估绿色增长的次级指标。随后，该研究已使用IVIF-CoCoSo方法进行了扩展，以进行排名，建模，并根据专家的意见评估可持续发展中的绿色增长指标。这项研究的结果表明，经济指标的环境和资源生产率比制造业中的其他指标更为重要。此外，研究结果证实了该方法在解决绿色增长问题方面的准确性，并与其他多标准决策方法（MCDM）进行了比较。