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Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method

Author

Listed:
  • Wu, Yunna
  • Yong, Xingkai
  • Tao, Yao
  • Zhou, Jianli
  • He, Jiaming
  • Chen, Wenjun
  • Yang, Yingying

Abstract

With the gradual development of science and technology, more and more countries regard big science research infrastructures (BSRIs) as the top priority in national development. However, the problem of out-of-control investment often occurs in the construction process of BSRIs, which leads to the loss of property and government credibility. Therefore, this paper carries out research on investment monitoring of BSRIs. The price of the contract signed in the process of engineering construction is taken as the investment monitoring point. And the investment monitoring key points are selected considering the monitoring cost. A three - stage index system of investment monitoring key points from the perspective of project life cycle is established. The generalized trapezoidal fuzzy number is used to describe the evaluation information. The entropy method and best-worst method are used to calculate the objective and subjective weights of indexes respectively. PROMETHEE Ⅱ is applied to rank alternative monitoring points. Finally, empirical research is carried out to verify the effectiveness and stability of the model. The comprehensive weights of contract amount, contractor performance, and adjacent contract payment unit investment amount are 28.83%, 18.81% and 15.05% respectively, which are the three most important indicators in the implementation stage.

Suggested Citation

  • Wu, Yunna & Yong, Xingkai & Tao, Yao & Zhou, Jianli & He, Jiaming & Chen, Wenjun & Yang, Yingying, 2023. "Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122002622
    DOI: 10.1016/j.seps.2022.101461
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