This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Research on the Application of Triangular Fuzzy Number and AHP in Risk Evaluation
Technical Paper
2015-01-0137
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Accurate risk prioritizing is directly related to the effectiveness of risk management. To overcome the shortage of the single numerical evaluation value, aiming at improving the accuracy of risk factors, a new risk priority method was proposed based on geometric characteristics of triangular fuzzy number and Analytic Hierarchy Process (AHP). This method was established on the basis of the fuzzy description of risk factors from experts, after the risk evaluation system was established. Then the fuzzy description of risk was processed with AHP, and fuzzy weights of risk factors were obtained and calculated it by using the geometric characteristics of triangular fuzzy number. Finally, the detailed ranking of risk factors by severity, probability and detection of risk was obtained. The risk priority of forklift system was processed to analyze the feasibility of this method. The results showed that the new method proposed here could fully get the implicit information, such as the weights of experts and the factors. It could improve the rationality of the risk sorting and revise the offset of the result using the traditional method.
Citation
Fan, Y., "Research on the Application of Triangular Fuzzy Number and AHP in Risk Evaluation," SAE Technical Paper 2015-01-0137, 2015, https://doi.org/10.4271/2015-01-0137.Also In
References
- JIN Min-jie , LI Chen , FAN Ying et al. Research on Risk Priority Number Analysis Method Based on Loss [J] China Safety Science Journal 2013 23 9 45 50
- WANG Zhong-xing , MO Ya-ni , LIU Yong-jun A new approach to ranking fuzzy numbers [J] Journal of Chongqing Institute of Technology : Natural Science 2008 22 8 50 53
- XU Ze-shui A priority method for triangular fuzzy number complementary judgement matrix [J] Systems Engineering-Theory & Practice 2003 23 10 86 89
- ZHU Song-ling , ZHOU Ping , HAN Yi et al. Research on risk analysis based on fuzzy AHP method [J] Computer Integrated Manufacturing Systems 2004 10 8 980 984
- Gong Zai-wu , Lin Yi , Yao Tian-xiang Uncertain fuzzy preference relations and their applications[M] Springer-Verlag New York 2013 45 74
- Yang Xiao-ling , Ding Jie-hua , Hou Hui Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis [J] Natural Hazards 2013 68 2 657 674
- WANG Yan-hui , JIN Jun , LI Man Analysis of urban rail transit fire based on triangular fuzzy causality diagram[J] China Safety Science Journal 2013 23 11 22 26
- FAN Ying , TIAN Zhi-cheng , CONG Guo-quan et al. Research on Comprehensive Safety Assessment Method for Wheel Loader Based on Analytic Hierarchy Process and Fuzzing Mathematics [J] Vehicle & Power Technology 2011 10 3 26 31
- LIAO Yong Evaluation method for the location selection of railway passenger station based on triangular fuzzy number [J] China Railway Science 2009 30 6 119 125
- Dubios D , Prade H Operations on fuzzy numbers [J] International Journal of Systems Science 1978 9 613 626