Next Article in Journal
An Energy-Efficient Evolutionary Clustering Technique for Disaster Management in IoT Networks
Next Article in Special Issue
Average Consensus over Mobile Wireless Sensor Networks: Weight Matrix Guaranteeing Convergence without Reconfiguration of Edge Weights
Previous Article in Journal
A Subject-Specific Approach to Detect Fatigue-Related Changes in Spine Motion Using Wearable Sensors
Previous Article in Special Issue
Semantic Segmentation of Natural Materials on a Point Cloud Using Spatial and Multispectral Features
Open AccessArticle

Dam Safety Evaluation Based on Interval-Valued Intuitionistic Fuzzy Sets and Evidence Theory

by Xiaosong Shu 1,2, Tengfei Bao 1,2,3,*, Yangtao Li 1,2, Kang Zhang 1,2 and Bangbin Wu 1,2
1
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2
College of Water-conservancy and Hydropower, Hohai University, Nanjing 210098, China
3
College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(9), 2648; https://doi.org/10.3390/s20092648
Received: 6 April 2020 / Revised: 1 May 2020 / Accepted: 3 May 2020 / Published: 6 May 2020
(This article belongs to the Collection Multi-Sensor Information Fusion)
Considering the multi-sources, heterogeneity and complexity of dam safety assessment, a dam safety assessment model based on interval-valued intuitionistic fuzzy set and evidence theory is proposed to perform dam safety reliability evaluations. In the proposed model, the dynamic reliability based on the supporting degree is applied to modify the data from homologous information. The interval-valued intuitionistic fuzzy set is used to describing the uncertainty and fuzziness between heterogeneous information. Evidence theory is employed to integrate the data from heterogeneous information. Finally, a multiple-arch dam undergoing structural reinforcement is taken as an example. The evaluation result before reinforcement shows that the safety degree of the dam is low and the potential risk is more likely to be located at the dam section #13. From the geological survey before reinforcement, there exist weak fracture zone and broken mud belt in the foundation of the dam section #13. The comparison between the evaluation results before and after reinforcement indicates that the dam become safer and more stable after reinforcement. View Full-Text
Keywords: dam engineering; evidence theory; interval-valued intuitionistic fuzzy set; multi-source information fusion dam engineering; evidence theory; interval-valued intuitionistic fuzzy set; multi-source information fusion
Show Figures

Figure 1

MDPI and ACS Style

Shu, X.; Bao, T.; Li, Y.; Zhang, K.; Wu, B. Dam Safety Evaluation Based on Interval-Valued Intuitionistic Fuzzy Sets and Evidence Theory. Sensors 2020, 20, 2648.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop