摘要
阐述基于云模型理论的飞行器导航系统模糊可靠性评测分析 .云模型是一种新的实现定性概念和定量数值之间转换的有力工具 ,用来统一刻划基于语言值的定性概念和数值表示之间的相互映射关系 .云的数字特征期望值 Ex、熵 En和超熵 H e三个数值表征 ,把模糊性和随机性完全集成在一起 ,作为知识表示的基础 .将其用于飞行器导航系统模糊可靠性分析及故障检测 ,可有效地提高飞行器导航系统的可靠性分析 .
Analysis of fuzzy reliability based on cloud models in aircraft navigation system is expatiated in this paper. A new mathematical representation of qualitative concepts is represented by cloud models. With the new models, mapping between qualities and quantities becomes much easier and interchangeable. They integrate fuzziness and randomness using digital characteristics, such as expected value Ex , entropy En and hyper entropy He . The fuzziness and randomness are not only complementary, but also inseparable. The application of cloud models to fuzzy reliability analysis and fault detection in aircraft navigation system can effectively enhance reliability assessment of navigation system. The simulation results demonstrate that the method has certain validity and feasibility.
出处
《自动化学报》
EI
CSCD
北大核心
2002年第1期126-130,共5页
Acta Automatica Sinica
基金
国家"863"高技术计划 (863 -3 0 6-ZT0 4-0 3 -4)
国防科技预研基金 (J9.3 .5 )资助
关键词
人工智能
模糊可靠性
导航系统
云模型
飞行器
航空
Artificial intelligent, fuzzy reliability, navigation system, cloud models
