*** risk assessment of deep foundation pit based on fuzzy evidential reasoning method ***
Authors: Wei, D.(Daojiang), An, M.(Min), Zhang, Y.(Yong)
School of Civil Engineering and Architecture, Hubei University of Art and Science
Corresponding author: Wei, D.(Daojiang)
Contact Information:
cindy.wei12@foxmail.com
School of Civil Engineering and Architecture, Hubei University of Art and Science
No. 296 Longzhong Road, Xiangyang City, Hubei Province, China

***General Introduction***
This dataset contains data collected from the underground traffic project of Zhengzhou Comprehensive Transportation Hub, which is located on the east side of Zhengzhou East Station.It is being made public to act as supplementary data for pubulications in order for other researchers to use this data in their own work.
This research project was made possible by the Construction Science and Technology Plan Project of Hubei Province under Grant No. HBJ2017-043 and also in part by the Key R & D Program Projects in Shaanxi Province under Grant No. 2018ADXM-SF-096

***Purpose of the test campaign***
The purpose of the research was to investigate the risk assessment of deep foundation pit in a linguistic environment, as detailed in "risk assessment of deep foundation pit based on fuzzy evidential reasoning method.xls"

***Description of the data in this data set***
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.