基于Bayes-模糊逻辑算子的小子样可靠性信息融合方法  

Small-sample reliability information fusion approach based on bayes-fuzzy logistic operator

作　　者：冯静[1] 周经伦[1] 

机构地区：[1]国防科技大学信息系统与管理学院系统工程系,长沙410073

出　　处：《航空动力学报》2008年第9期1633-1636,共4页Journal of Aerospace Power

基　　金：国家自然科学基金(60701006)

摘　　要：为了解决航空航天复杂系统可靠性评定中样本量小而导致评估结果可信度不高的问题,引入模糊逻辑算子这一非线性模型对多源可靠性验前信息进行融合,并给出了其参数估计的第二类极大似然(ML-Ⅱ)估计方法,通过仿真示例说明了融合方法的有效性.In order to solve lower confidence level of reliability assessment results for complex system in aero and aircraft fields caused by little test data, a fusion method based on fuzzy aggregation operator （FAO） was presented to fully embody the degree of redundancy and complementarity of information from multiple sources. The unknown parameters of the fusion operator were estimated by the second maximum likelihood estimation method （ML-I）. The simulation example shows that the proposed method is effective.

关 键 词：可靠性评定 信息融合 模糊逻辑融合算子 BAYES方法 ML-II方法 

分 类 号：O213.2[理学—概率论与数理统计] TB114[理学—数学]