Abstract
The Industrial Internet of Things is crucial for enterprise and country to drive the strategic upgrade and raise the level of national intelligent manufacturing. When pondering the IIoT industry evaluation, the corresponding dominating issues involve numerous indeterminacies. Spherical fuzzy set, portrayed by memberships of positive, neutral and negative, is a more efficient methods of seizing indeterminacy. In this article, firstly, the fire-new spherical fuzzy score function is explored for solving some suspensive comparison issues. Moreover, the objective weight and combined weight are determined by Renyi entropy method and non-linear weighted comprehensive method, respectively. Later, the multi-criteria decision making method based on combined compromise solutionis developed under spherical fuzzy environment. Finally, the corresponding method is effectively validated by the issue of IIoT industry evaluation. The main characteristics of the presented algorithm are: (1) without counterintuitive phenomena; (2) no division or antilogarithm by zero problem; (3) no square root by negative number issue; (4) no violation of the original definition issue.
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Acknowledgements
The authors are very appreciative to the reviewers for their precious comments which enormously ameliorated the quality of this paper. Our work is sponsored by the National Natural Science Foundation of China (No. 62006155), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 18YJCZH054), Natural Science Foundation of Guangdong Province (Nos. 2018A030307033, 2018A0303130274), Social Science Foundation of Guangdong Province (No. GD18CFX06), Special Innovation Projects of Universities in Guangdong Province (No. KTSCX205).
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Peng, X., Li, W. Spherical fuzzy decision making method based on combined compromise solution for IIoT industry evaluation. Artif Intell Rev 55, 1857–1886 (2022). https://doi.org/10.1007/s10462-021-10055-7
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DOI: https://doi.org/10.1007/s10462-021-10055-7