A method of inducing ordered basic belief assignment and its application in risk assessment of tailing dam

Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering

Volumn 22, Issue 4, 2014, Pages 830-839

  Wang, Xiaoxia ^a   Yang, Fengbao ^a   Lin, Suzhen ^a   Shi, Dongmei ^a  

^a NORTH UNIVERSITY OF CHINA   (China)

Author keywords

Basic belief function; D S evidence theory; Flexible similarity measure; Risk assessment model

Indexed keywords

FUZZY RULES; UNCERTAINTY ANALYSIS;

BASIC BELIEF ASSIGNMENT; BELIEF FUNCTION; D S EVIDENCE THEORY; GENERALIZED FUZZY NUMBERS; MONITORING INFORMATION; RISK ASSESSMENT MODELS; SIMILARITY MEASURE; UNCERTAIN INFORMATIONS;

RISK ASSESSMENT;

EID: 84906956204     PISSN: 10050930     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1005-0930.2014.04.019     Document Type: Article

References (15)

1. Wei O Y, Li W J. Online monitoring system of tailing dam seepage line in abominable weather[J]. Applied Mechanics and Materials, 2013, 340: 913-919
2. Yang T H, Zheng Q H, Wang Y. Safety risk analysis of the transmission line project affected by dangerous slope rock[J]. Advanced Materials Research, 2013(726-731): 816-819
3. Yang Fengbao, Wang Xiaoxia. Conflict Evidence Combination Method of D-S Evidence Theory[M]. Beijing: National Defence Industry Press, 2010
4. Liang Weiguang. Fault diagnosis of on-orbit spacecraft based on evidence theory[D]. University of Science and Technology of China, 2011
5. Djouadi Y, Dubois D, Prade H. Possibility theory and formal concept analysis: Context decomposition and uncertainty handling[J]. Computational Intelligence for Knowledge-Based Systems Design Lecture Notes in Computer Science. 2010, 6178: 260-269
6. Luo Zhigao, He Xin, Xu Aicheng, et al. Application of possibility theory in rolling bearing compound fault diagnosis[J]. Journal of Vibration and Shock, 2011, 30(1): 73-76
7. Wen Chenglin, Zhou Zhe, Xu Xiaobin. A new similarity measure between generalized trapezoidal fuzzy numbers and its application to fault diagnosis[J]. Acta Electronica Sinica. 2011, 39(3A): 1-6
8. Wei S H, Chen S M. A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers[J]. Expert System with Application, 2009, 36(1): 581-588
9. Hejazi S R, Doostparast A, Hosseini S M. An improved fuzzy risk analysis based on a new similarity measures of generalized fuzzy numbers[J]. Expert Systems with Applications, 2011, 38(8): 9179-9185
10. Chen S J, Chen S M. Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers[J]. IEEE Transactions on Fuzzy Systems, 2003, 11(1): 45-56
11. Wang X X, Yang F B, Ji L N, et al. A processing method of possibility entropy weight with generalized fuzzy expert information[J]. Journal of Convergence Information Technology, 2013, 8(5): 939-947
12. Chen S M, Sanguansat K. Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers[J]. Expert Systems with Applications, 2011, 38(1): 2163-2171
13. Curt C, Talona A, Mauris G. A dam assessment support system based on physical measurements, sensory evaluations and expert judgments[J]. Measurement, 2011, 44(1): 192-201
14. Xie Xuyang, Jiang Tianhan, Wang Yunhai, et al. The study on regional alert of tailing reservoir based on support vector machine[J]. Journal of Safety Science and Technology, 2008, 4(4): 17-21
15. Wan Shuping, Zhang Xiaolu, Wang Ling, et al. Method based on weighted possibility mean for solving matrix games with payoffs of intuitionistic trapezoidal fuzzy numbers[J]. Control and Decision, 2012, 27(8): 1121-1126