Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data

HIGHLIGHTS

• who: Huimin Xiao and collaborators from the Henan University of Economics and Law, Zhengzhou, China have published the research: Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data, in the Journal: PLOS ONE of June/17,/2022
• what: Aiming to improve the effectiveness of disaster emergency management the authors propose a novel emergency decision model embedding similarity algorithms of heterogeneous multiattribute based on case-based reasoning. In public health emergencies, existing research provided the model which combined the best-worst method (BWM) and data envelopment analysis to select . . .
  

   

  

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