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一种模糊的时间序列驱动的整体方法,用于准确预测高等教育排名

Nidhi Agarwal1, Devendra Kumar Tayal2, P P Fathimathul Rajeena3

  • 1School of Computer Science and Engineering, Galgotias University, Greater Noida, India.

Scientific reports
|March 13, 2026
PubMed
概括

这项研究引入了一种新的模糊时间序列组合模型 (EBTsA),以准确预测机构排名,在COVID-19大流行等全球不确定性中. 该EBTSA模型为更好的教育决策提供可靠的动态预测.

关键词:
学术排名预测预测在 COVID-19 疫情中,集群集成是指集群集成.组合模型模型组合模型集体为基础的协会协会.模糊的时间序列.

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