Intuitionistic fuzzy social network hybrid MCDM model for an assessment of digital reforms of manufacturing industry in China

Shouzhen Zeng, Jiamin Zhou, Chonghui Zhang and José M. Merigó

Technological Forecasting and Social Change, 2022, vol. 176, issue C

Abstract: Digital reform requires enterprises to use digital technology to create a deep integration between their production, management, and operational processes, and generate a data chain for the entire process, thereby meeting the personalized requirements and expectations of customers. The achievements of digital reform in manufacturing enterprises need to be evaluated scientifically, which can help the enterprises adjust their development strategies for a digital reform in a timely manner. We therefore propose a multi-criteria model based on a social network for assessing a digital reform under an intuitionistic fuzzy environment, wherein an intuitionistic fuzzy hybrid average and geometric operator is proposed to aggregate evaluation information more effectively than with existing methods. In addition, because the trust relationships between experts can affect their decisions, a social network is introduced to determine the weights assigned to these experts. Finally, a case study of four manufacturing enterprises is presented to verify the effectiveness of the proposed method.

Keywords: Digital reform; Multi-criteria decision-making; Intuitionistic fuzzy hybrid aggregation; Social network; Communication equipment manufacturing (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008660

DOI: 10.1016/j.techfore.2021.121435

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