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

FENG Jing; ZHOU Jing-lun

Chinese

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

更新时间：2026-07-07

- Small-sample reliability information fusion approach based on bayes-fuzzy logistic operator
- Vol. 23, Issue 9, (2008)
- 作者机构：
  
  国防科技大学信息系统与管理学院系统工程系,长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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FENG Jing, ZHOU Jing-lun. Small-sample reliability information fusion approach based on bayes-fuzzy logistic operator[J]. 2008, 23(9).
DOI：

FENG Jing, ZHOU Jing-lun. Small-sample reliability information fusion approach based on bayes-fuzzy logistic operator[J]. 2008, 23(9). DOI：

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.

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.

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Related Institution

State Key Laboratory of Robotics and System，Harbin Institute of Technology

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College of Information System and Management, National University of Defense Technology

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