Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach

Abstract

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.

Green Growth Policy, De-Growth, and Sustainability: The Alternative Solution for Achieving the Balance between Both the Natural and the Economic System

“…Efforts to replace plastic bags with paper bags have negative impacts on land use because more trees are needed [32]. Ongoing discussions of how to measure green growth [33,34] cast doubts on existing indexes and decoupling projections and coalesce with controversy on what should be considered a green job [35] or green exports (Kang and Lee in this SI) (4). As a logical consequence of the precautionary principle of sustainability [36], if we cannot trust that we adequately measure the potential negative impacts of activities related to green growth, such activities should not be carried out.…”

Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation

“…It must be pointed out that the combined compromise solution (CoCoSo) method was firstly presented by Yazdani [18], which employs a comparability sequence through two means named aggregated exponentially weighted product (EWP) and simple additive weighting (SAW). Up to now, the CoCoSo method has been triumphantly used in personnel assessment [19], tourism attraction selection [20], and green growth indicator [21]. However, we will face diverse practical problems with complex data during decision-making process.…”

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

“…Liao et al [52] introduced an innovative Pythagorean fuzzy CoCoSo method for the selection of cold chain logistics delivery center. Alrasheedi et al [53] suggested a novel IVIF-CoCoSo technique for assessing the green growth indicators to accomplish sustainable development in the manufacturing region. Rani and Mishra [54] gave a single-valued neutrosophic CoCoSo method for evaluating sustainable waste electrical and electronics equipment recycling partners.…”