The risk assessment of a deep foundation pit based on fuzzy evidential reasoning method
datasetposted on 20.05.2019 by Daojiang Wei
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.