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Two-sided matching decision-making model with hesitant fuzzy preference information for configuring cloud manufacturing tasks and resources

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Abstract

Owing to the complexity of socio-economic environments and the fuzziness of human cognition, information of cognitive preference provided by decision-making organizations composed of many experts is often hesitant and fuzzy. In consequence, for the sake of addressing the hesitance and fuzziness of preference information for the configuration of tasks and resources in cloud manufacturing, a decision-making model of a two-sided matching considering a bidirectional projection under preference information of hesitant fuzzy is put forward. Primarily, this paper describes the problem of two-sided matching and introduces the hesitant fuzzy set. Afterwards, according to preference information given by matching agents using the hesitant fuzzy element, the evaluation matrix is constructed. Meanwhile, the bidirectional projection technology and TOPSIS method are combined to calculate the closeness degree matrix. Further, by introducing the constraint of the stable matching, a decision-making model of a two-sided matching for maximizing the closeness degree of two-sided matching agents is constructed, and the optimal configuration results are obtained by the solving of the model. Subsequently, the illustrative case is provided to validate the rationality and effectiveness of the presented model in solving the configuration for cloud manufacturing tasks and resources. Also, the stability in the proposed configuration results is illustrated by making a sensitivity analysis. Further, the reliability in the given solving process is demonstrated through performing a comparative analysis, as well as the advantages in the proposed model is also discussed. It shows that this developed model can give stable configuration results and also provide a matching approach for different agents under an uncertain environment.

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Acknowledgements

The author extends his thanks to the editor as well as anonymous reviewers for their valuable comments. Simultaneously, I also want to thank my wife Yan Li for her understanding and support in life. The work was funded by the National Natural Science Foundation of China (Grant No. 71571023). And this study was also supported by the Fundamental Research Funds for the Central Universities, China (Grant No. 2018CDXYJX0019), the Graduate Scientific Research and Innovation Foundation of Chongqing, China (Grant No. CYB19010), the Youth Foundation of Ministry of Education of China (Grant No. 19YJC630141) and the Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant No. KJQN201800832).

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Authors and Affiliations

  1. College of Mechanical Engineering, Chongqing University, Chongqing, 400044, China

    Baodong Li, Yu Yang, Zhichao Liang & Sheng Wang

  2. Chongqing Key Laboratory of Electronic Commerce & Supply Chain System, Chongqing Technology and Business University, Chongqing, 400067, China

    Jiafu Su

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  1. Baodong Li
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  2. Yu Yang
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Correspondence to Yu Yang.

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Li, B., Yang, Y., Su, J. et al. Two-sided matching decision-making model with hesitant fuzzy preference information for configuring cloud manufacturing tasks and resources. J Intell Manuf 31, 2033–2047 (2020). https://doi.org/10.1007/s10845-020-01552-7

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