Approach to integrate fuzzy fault tree with Bayesian network

摘要：

　　Fuzzy fault tree (FFT) can offer an efficient method of representing the fault causes and handling fuzzy information in the relationships among events.However,FFT cannot incorporate the evidence into the reasoning as Bayesian Network (BN).To overcome the disadvantage of FFT and BN,an approach of integrating FFT with BN is proposed in this paper.Firstly,the FFT technique of Takagi and Sugeno model that can handle uncertainties in the relationships among different events is introduced.Secondly,the translation rules of converting FFT into BN are presented.The integration algorithm is then demonstrated on an offshore fire case study.

关键词： Fuzzy fault tree (FFT) Bayesian Network (BN) fuzzy analytical hierarchy process (FAHP) Fuzzy numbers

作者: WANG Yanfu XIE Min

作者单位: China University of Petroleum,No.66 Changjiang West Road,Economic& Technological Development Zone,Qi City University of Hong Kong,83 Tat Chee Avenue,Kowloon Tong,Hong Kong,China

会议类型: 国际会议

会议名称: 2012 International Symposium on Safety Science and Technology (2012安全科学与技术国际会议)

会议地点: 南京

会议语种:英文

页码: 131-138

在线出版日期: 2012-10-23（万方平台首次上网日期，不代表论文的发表时间）