*** selection of supporting scheme for deep excavation based on interval 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 construction project of a station on Changsha Metro Line 3, in Hunan Province, China. 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 research***
The purpose of the research was to investigate the decision-making on selection of supporting scheme for deep excavation in interval uncertain environment, as detailed in "selection of supporting scheme for deep excavation based on interval evidential reasoning method.xls"

***Description of the data in this data set***
In general, the dataset is divided into three parts: part one is the calculation process of weight for each attribute, part two is regarding to the calculation process of the basic probability assigned function of four alternatives on each attribute, part three is referring to  the calculation process of aggregated degree of belief and expected utilities for four alternatives.