The risk assessment of a deep foundation pit based on fuzzy evidential reasoning method

Datacite citation style:
Wei, Daojiang (2019): The risk assessment of a deep foundation pit based on fuzzy evidential reasoning method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:ade45884-3d52-46fe-916f-c0bcfffdfdc9
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
In general, the dataset is divided into two parts: the risk assessment part and the sensitivity analysis part. The risk assessment part is consisted of four steps: value assignment of hazards with trapezoidal fuzzy number, transformation of belief structure, fusion of belief using evidential reasoning algorithm, and redistribution of belief. In order to unveil the contribution degree of each hazard regarding to the whole risk level, the sensitivity analysis is conducted at last.
history
  • 2019-05-20 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/plain
organizations
School of Civil Engineering and Architecture, Hubei University of Art and Science

DATA

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