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Project Group Program Generation and Decision Making Method Integrating Coupling Network and Hesitant Fuzzy

Author

Listed:
  • Liwei Qian

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

  • Yajie Dou

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

  • Chang Gong

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

  • Xiangqian Xu

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

  • Yuejin Tan

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

Abstract

Modern urban construction relies on a large number of projects. Project groups are an effective way to manage a large number of projects. In view of the current lack of scientific methods for constructing and evaluating project group programs, which are mainly based on subjective experience, this article proposes a scientific method for project group program generation and decision-making. The method proposed in this article applies a multi-layer coupling network to the modeling of project groups and divides projects into planning projects and execution projects to form a heterogeneous coupling network. Then, starting from the principle of project information dissemination, the evaluation indicators of the project group program were defined, and finally, the hesitant fuzzy decision-making method was used to assist in decision making. This article can provide a new method for project group construction and management, and provide strong support for the construction of smart cities and digital governments.

Suggested Citation

  • Liwei Qian & Yajie Dou & Chang Gong & Xiangqian Xu & Yuejin Tan, 2023. "Project Group Program Generation and Decision Making Method Integrating Coupling Network and Hesitant Fuzzy," Mathematics, MDPI, vol. 11(18), pages 1-25, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:4010-:d:1244778
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    References listed on IDEAS

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    5. Jiang, Shanshan & Fan, Hong, 2018. "Credit risk contagion coupling with sentiment contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 186-202.
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