Risk analysis of physical protection system based on evidence theory

Journal of Information and Computational Science

Volumn 7, Issue 13, 2010, Pages 2871-2878

  Xu, Peida ^a,f   Su, Xiaoyan ^a   Wu, Jiyi ^b   Sun, Xiaohong ^c   Zhang, Yajuan ^a,d   Deng, Yong ^a,e,f  

^a SOUTHWEST UNIVERSITY   (China)

^b HANGZHOU NORMAL UNIVERSITY   (China)

^c SHANGHAI OCEAN UNIVERSITY   (China)

^d XIANGTAN UNIVERSITY   (China)

^e SOUTHWEST UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^f SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

D S evidence theory; Information fusion; Protection system; Risk evaluation; Threat

Indexed keywords

D S EVIDENCE THEORY; EVALUATION METHOD; EVIDENCE THEORIES; INDIVIDUAL COMPONENTS; MULTI-SOURCE INFORMATION FUSION; NUMERICAL EXAMPLE; PHYSICAL PROTECTION SYSTEMS; PROTECTION SYSTEM; PROTECTION SYSTEMS; REAL ENVIRONMENTS; RESOURCES ALLOCATION; RISK EVALUATION; THREAT;

INFORMATION FUSION; NUMERICAL METHODS; RISK ANALYSIS; RISK ASSESSMENT;

SECURITY OF DATA;

EID: 79955036409     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. H. R. Guo, P. A. Valberg, Evaluation of the validity of the us epa's cancer risk assessment of arsenic for low-level exposures: A likelihood ratio approach, Environmental Geochemistry and Health, 19 (1997) 133-141
2. C. B. Li, L. Zhang, Risk evaluation of information system based on grey and fuzzy comprehensive method, Journal of Computational Information Systems, 5 (2009) 1705-1712
3. I. P. K. R. S. Livingstone, L. Raghuram, D. V. Rai, Evaluation of radiation risk and work practices during cerebral interventions, Journal of Radiological Protection, 23 (2003) 327-336
4. H. Mohtadi, A. P. Murshid, Risk analysis of chemical, biological, or radionuclear threats: Implications for food security, Risk Analysis, 29 (2009) 1317-1335
5. Y. Deng, W. Jiang, F. T. S. Chan, Y. Wu, D. Wang, A New Linguistic MCDM Method based on Multiple-criterion Data Fusion, Expert Systems With Applications, (Accepted), 2011
6. Y. Deng, W. Jiang, R. Sadiq, Modeling contaminant intrusion in water distribution networks: A new similarity-based DST method, Expert Systems With Applications, 38 (2011) 571-578
7. Y. Deng, X. Y. Su, D. Wang, Q. Li, Target Recognition Based on Fuzzy Dempster Data Fusion Method, Defence Science Journal, 60 (2010) 525-530
8. Q. Liu, J. Xiong, Y. Deng, A subjective methodology for risk quantification based on generalized fuzzy numbers, International Journal Of General Systems, 37 (2008) 149-165
9. A. Dempster, Upper and lower probabilities induced by multivalued mapping, Annual Mathmatics Statistics, 38 (1967) 325-339
10. G. Shafer, A Mathematical theory of evidence, Princeton University Press, New Jersey, 1976
11. P. Smets, R. Kennes, The transfer belief model, Artificial Intelligence, 66 (1994) 191-234
12. W. Liu, Analyzing the degree of conflict among belief functions, Artificial Intelligence, 170 (2006) 909-924