A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base

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• 作者：Gailing Li^a ; ^b ; Zhijie Zhou^a ; ^c ; ^{zhouzj04@mails.tsinghua.edu.cn} ; Changhua Hu^a ; Leilei Chang^a ; Zhiguo Zhou^d ; Fujun Zhao^a
• 关键词：Safety assessment ; Conditional generalized minimum variance method ; Belief rule base
• 刊名：Safety Science
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：93
• 期：Complete
• 页码：108-120
• 全文大小：3226 K
• 卷排序：93

文摘

Selecting key attributes by the conditional generalized minimum variance method. Optimizing the referenced values by the fuzzy subtractive clustering algorithm. Calculating the belief degrees by the modified fuzzy c-means clustering algorithm. Using the differential evolution algorithm to optimize BRB parameters. The CGMV-BRB-based model has shown superior performance in the actual system.