基于Bayes-模糊逻辑算子的小子样可靠性信息融合方法

冯静; 周经伦

基于Bayes-模糊逻辑算子的小子样可靠性信息融合方法

冯静,
周经伦

国防科技大学信息系统与管理学院系统工程系, 长沙 410073

基金项目: 国家自然科学基金(60701006)

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- 被引次数: 0
出版历程
- 收稿日期: 2007-08-21
- 修回日期: 2007-12-17
- 刊出日期: 2008-09-28

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

Information System and Management School, National University of Defense Technology, Changsha 410073, China

摘要

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.
- 可靠性评定 /
- 信息融合 /
- 模糊逻辑融合算子 /
- Bayes方法 /
- ML-Ⅱ方法
Abstract: 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-Ⅱ).The simulation example shows that the proposed method is effective.
- reliability assessment /
- information fusion /
- fuzzy aggregation operator /
- bayesian analysis /
- the second maximum likelihood estimation method(ML-Ⅱ)

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参考文献(10)

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