A hybrid information fusion approach to safety risk perception using sensor data under uncertainty

Stochastic Environmental Research and Risk Assessment

Volumn 32, Issue 1, 2018, Pages 105-122

  Wu, Xianguo ^a   Duan, Junchao ^a   Zhang, Limao ^b   AbouRizk, Simaan M ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Cloud model; D S evidence theory; Information fusion; Safety analysis; Sensor data; Tailings dam

Indexed keywords

ACCIDENT PREVENTION; CLOUD COMPUTING; DAMS; EMBANKMENT DAMS; INFORMATION FUSION; RISK PERCEPTION; SAFETY ENGINEERING; TAILINGS;

CLOUD MODELING; EVIDENCE THEORIES; SAFETY ANALYSIS; SENSOR DATA; TAILINGS DAM;

SENSOR DATA FUSION;

COMPUTER SIMULATION; MONITORING; NUMERICAL MODEL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RISK PERCEPTION; SAFETY; TAILINGS DAM; THREE-DIMENSIONAL MODELING; UNCERTAINTY ANALYSIS;

CHINA;

EID: 85013040717     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-017-1389-9     Document Type: Article

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