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

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Abstract

In the era of Internet of Everything (IoE), we are faced with complex patterns of connectivity between people, processes, data, and things. The IoE industry decision making is all important for enterprises or countries to heighten the efficacy of leadership, which can tremendously expedite the large-scale development and industrialization. When considering the IoE companies’ assessment in the IoE industry, the fundamental issue involves enormous indeterminacy. Hesitant fuzzy soft set (HFSS), portrayed by the parameterized form of multiple membership degree, is a more useful pattern for seizing indeterminacy. In this paper, the objective weight is determined by CRITIC (Criteria Importance Through Inter-criteria Correlation) approach while the integrated weight is calculated by synchronously revealing subjective weight and objective weight. Then, hesitant fuzzy soft decision-making approach based on CoCoSo (Combined Compromise Solution) is introduced for solving the low discrimination issue, counterintuitive phenomena, and parameter type requirements. Finally, the availability of algorithm is verified by IoE companies’ evaluation issue, along with their sensitivity analysis.

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Acknowledgements

Our work is sponsored by the National Natural Science Foundation of China (Grant No. 62006155).

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Authors and Affiliations

  1. College of Computer, National University of Defense Technology, Changsha, 410073, China

    Xindong Peng & Zhigang Luo

  2. School of Information Engineering, Shaoguan University, Shaoguan, 512005, China

    Xindong Peng

  3. School of Mathematics, Thapar Institute of Engineering and Technology (Deemed University), Patiala, 247667, India

    Harish Garg

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  1. Xindong Peng
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  2. Harish Garg
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Correspondence to Xindong Peng.

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Peng, X., Garg, H. & Luo, Z. Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation. Int. J. Fuzzy Syst. 24, 457–473 (2022). https://doi.org/10.1007/s40815-021-01147-1

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  • DOI: https://doi.org/10.1007/s40815-021-01147-1

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