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

Author

Listed:
  • Melfi Alrasheedi
  • Abbas Mardani
  • Arunodaya R. Mishra
  • Dalia Streimikiene
  • Huchang Liao
  • Abdullah H. Al‐nefaie

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.

Suggested Citation

  • Melfi Alrasheedi & Abbas Mardani & Arunodaya R. Mishra & Dalia Streimikiene & Huchang Liao & Abdullah H. Al‐nefaie, 2021. "Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 120-142, January.
    • Handle: RePEc:wly:sustdv:v:29:y:2021:i:1:p:120-142
    DOI: 10.1002/sd.2136
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    1. Abdullah Al-Barakati & Pratibha Rani, 2024. "Assessment of healthcare waste treatment methods using an interval-valued intuitionistic fuzzy double normalization-based multiple aggregation approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19397-19424, August.
    2. M. Alimohammadlou & Z. Khoshsepehr, 2022. "Investigating organizational sustainable development through an integrated method of interval-valued intuitionistic fuzzy AHP and WASPAS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2193-2224, February.
    3. Dekai Tao & Wenli Zhou, 2022. "An Evaluation and Optimization of Green Development Strategy for the Nanjing-Hangzhou Eco-Economic Zone in China," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    4. Arunodaya Raj Mishra & Pratibha Rani & Fausto Cavallaro & Ibrahim M. Hezam, 2023. "An IVIF-Distance Measure and Relative Closeness Coefficient-Based Model for Assessing the Sustainable Development Barriers to Biofuel Enterprises in India," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    5. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).

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