Dependence assessment in human reliability analysis under uncertain and dynamic situations |
Gao, Xianghao
(School of Automation Engineering, Shanghai University of Electric Power)
Su, Xiaoyan (School of Automation Engineering, Shanghai University of Electric Power) Qian, Hong (School of Automation Engineering, Shanghai University of Electric Power) Pan, Xiaolei (School of Automation Engineering, Shanghai University of Electric Power) |
1 | Y. Deng, Information volume of mass function, Int. J. Comput. Commun. Control 15 (6) (2020) 3983. DOI |
2 | J. Deng, Y. Deng, Information volume of fuzzy membership function, Int. J. Comput. Commun. Control 16 (1) (2021) 4106. |
3 | X. Deng, W. Jiang, Dependence assessment in human reliability analysis using an evidential network approach extended by belief rules and uncertainty measures, Ann. Nucl. Energy 117 (2018) 183-193. DOI |
4 | W. Jiang, Y. Cao, X. Deng, A novel Z-network model based on bayesian network and Z-number, IEEE Trans. Fuzzy Syst. (2019) 1585-1599. |
5 | A. Jousselme, D. Grenier, Eloi Bosse, A new distance between two bodies of evidence, Inf. Fusion 2 (2) (2001) 91-101. DOI |
6 | Y. Gong, X. Su, H. Qian, N. Yang, Research on fault diagnosis methods for the reactor coolant system of nuclear power plant based on D-S evidence theory, Ann. Nucl. Energy 112 (2018) 395-399. DOI |
7 | L. Zadeh, Fuzzy sets, Inf. Control 8 (3) (1965) 338-353. DOI |
8 | D. Kancev, A plant-specific HRA sensitivity analysis considering dynamic operator actions and accident management actions, Nuclear Engineering and Technology 52 (9) (2020) 1983-1989. DOI |
9 | Y. Cai, M.W. Golay, A framework analyzing system status and human activities: illustrated using 2011 Fukushima nuclear power plant accident scenarios, Nucl. Eng. Des. 373 (3) (2021) 111025. DOI |
10 | F. Xiao, Evidential fuzzy multicriteria decision making based on belief entropy, IEEE Trans. Fuzzy Syst. 28 (7) (2020) 1477-1491. DOI |
11 | J. Zhao, Y. Deng, Performer selection in human reliability analysis: D numbers approach, Int. J. Comput. Commun. Control 14 (3) (2019) 437-452. DOI |
12 | Y. Deng, W. Shi, Z. Zhu, Q. Liu, Combining belief functions based on distance of evidence, Decis. Support Syst. 38 (2004) 489-493. DOI |
13 | M. Cepin, Importance of human contribution within the human reliability analysis (IJS-HRA), J. Loss Prev. Process. Ind. 21 (3) (2008) 268-276. DOI |
14 | Z. Liu, L. Huang, K. Zhou, T. Denoeux, Combination of transferable classification with multisource domain adaptation based on evidential reasoning, IEEE Trans. Neural Networks and Learning Systems 32 (5) (2021), 2015-2029. DOI |
15 | P. Dempster, Upper and lower probabilities induced by a multivalued mapping, Ann. Math. Stat. 38 (2) (1967) 325-339. DOI |
16 | A. Abbaspour, M. Saremi, A. Alibabaei, P.S. Moghanlu, Determining the optimal human reliability analysis (HRA) method in healthcare systems using Fuzzy ANP and Fuzzy TOPSIS, Journal of Patient Safety and Risk Management 25 (3) (2020) 123-133. DOI |
17 | M. Tavakoli, M. Nafar, Human reliability analysis in maintenance team of power transmission system protection, Protection and Control of Modern Power Systems 5 (4) (2020) 270-282. |
18 | E. Zio, P. Baraldi, M. Librizzi, L. Podofillini, V. Dang, A fuzzy set-based approach for modeling dependence among human errors, Fuzzy Set Syst. 160 (13) (2009) 1947-1964. DOI |
19 | A. Swain, H. Guttmann, Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications. NUREG/CR-1278, US Nuclear Regulatory Commission, Washington, DC, 1983. |
20 | D. Gertman, H. Blackman, J. Marble, J. Byers, C. Smith, The SPAR-H Human Reliability Analysis Method, US Nuclear Regulatory Commission, 2005. |
21 | K. Groth, R. Smith, R. Moradi, A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science, Reliab. Eng. Syst. Saf. 191 (2019) 106507. DOI |
22 | A. Prosek, M. Cepin, Success criteria time windows of operator actions using RELAP5/MOD3.3 within human reliability analysis, J. Loss Prev. Process. Ind. 21 (3) (2008) 260-267. DOI |
23 | X. Guo, Y. Zhou, J. Qian, Y. Deng, Using evidence credibility decay model for dependence assessment in human reliability analysis, Ann. Nucl. Energy 100 (2017) 107-118. DOI |
24 | G. Shafer, in: A Mathematical Theory of Evidence, vol. 42, Princeton university press, 1976. |
25 | A. Zhang, F. Gao, M. Yang, W. Bi, Belief rule-based dependence assessment method under interval uncertainty, Quality and Reliability Engineering 36 (5) (2020) 2459-2477. DOI |
26 | Y. Pan, L. Zhang, X. Wu, M.J. Skibniewski, Multi-classifier information fusion in risk analysis, Inf. Fusion 60 (2020) 121-136. DOI |
27 | Z. Liu, L. Huang, K. Zhou, T. Denoeux, Combination of classifiers with different frames of discernment based on belief functions, IEEE Trans. Fuzzy Syst. (2020) 2995862. |
28 | Y. Xue, Y. Deng, A new belief structure based on cardinality measure, Comput. Appl. Math. 40 (2) (2021) 59. DOI |
29 | X. Zheng, Y. Deng, Dependence assessment in human reliability analysis based on evidence credibility decay model and Iowa operator, Ann. Nucl. Energy 112 (2018) 673-684. DOI |
30 | Y. Deng, Uncertainty measure in evidence theory, Sci. China Inf. Sci. 63 (11) (2020) 210201. DOI |
31 | S. Abrishami, N. Khakzad, S.M. Hosseini, A data-based comparison of BN-HRA models in assessing human error probability: an offshore evacuation case study, Reliab. Eng. Syst. Saf. 202 (2020) 107043. DOI |
32 | X. Zhou, X. Deng, Y. Deng, S. Mahadevan, Dependence assessment in human reliability analysis based on D numbers and AHP, Nucl. Eng. Des. 313 (2017) 243-252. DOI |
33 | Y. Kirimoto, Y. Hirotsu, K. Nonose, Development of a human reliability analysis (HRA) guide for qualitative analysis with emphasis on narratives and models for tasks in extreme conditions, Nuclear Engineering and Technology 53 (2) (2021) 376-385. DOI |
34 | M. Cepin, DEPEND-HRA-A method for consideration of dependency in human reliability analysis, Reliab. Eng. Syst. Saf. 93 (10) (2008) 1452-1460. DOI |
35 | L. Chen, X. Zhou, F. Xiao, Y. Deng, S. Mahadevan, Evidential analytic hierarchy process dependence assessment methodology in human reliability analysis, Nuclear Engineering and Technology 49 (1) (2017) 123-133. DOI |
36 | Y. Pan, L. Zhang, Z. Li, L. Ding, Improved fuzzy bayesian network-based risk analysis with interval-valued fuzzy sets and D-S evidence theory, IEEE Trans. Fuzzy Syst. 28 (9) (2019) 2063-2077. DOI |
37 | L. Podofillini, V. Dang, E. Zio, P. Baraldi, M. Librizzi, Using expert models in human reliability analysis-a dependence assessment method based on fuzzy logic, Risk Anal. Int. J. 30 (8) (2010) 1277-1297. DOI |
38 | Z. Liu, Y. Liu, J. Dezert, F. Cuzzolin, Evidence combination based on credal belief redistribution for pattern classification, IEEE Trans. Fuzzy Syst. 28 (4) (2020) 618-631. DOI |
39 | D. Vo, J. Karnjana, V. Huynh, An integrated framework of learning and evidential reasoning for user profiling using short texts, Inf. Fusion 70 (2021) 27-42. DOI |
40 | Y. Du, Q. Chen, Y. Sun, C. Li, Knowledge structure-based consensus-reaching method for large-scale multiattribute group decision-making, Knowl. Base Syst. 219 (2021) 106885. DOI |