摘要
旨在利用基于模糊不确定性的改进证据推理(evidential reasoning,ER)算法,为导弹质量状态评估提供基础,特别是处理其中多种无法量化的因素,以及不精确、定义不清和不完整的因素。这种ER算法运行体系中,未知和模糊数据都在分布式模糊置信结构的统一框架下建模,形成模糊信念决策矩阵。同时合理利用效用的等级匹配方法,将数值数据和各种形式的定性(模糊)评估信息最终转换为模糊信念结构。该方法可在保持不淹没退化速度较快的重要参数评估等级独立性的前提下无需迭代对重要参数评估等级进行融合,从而提高评估过程的灵敏度和适用性。
This paper aims to use the method of evidential reasoning(ER)algorithm based on fuzzy uncertainty to provide the basis for missile quality condition assessment,especially to deal with many unquantifiable factors,as well as factors which are inaccurate,unclear and incomplete.The ER algorithm operates in a system where both unknown and fuzzy data are modeled under the unified framework of distributed fuzzy belief structure to form a fuzzy belief decision matrix.Using the grade matching method,the numerical data and various forms of qualitative(fuzzy)evaluation information are finally transformed into fuzzy belief structure.This method can fuse the evaluation levels of impor⁃tant parameters without iteration on the premise of maintaining the independence with fast degradation speed,so as to improve the sensitivity and applicability of the evaluation process.
作者
雷瑶
赵建印
白玉
LEI Yao;ZHAO Jian-yin;BAI Yu(Naval Aviation University,Shandong Yantai 264001,China;PLA,No.61305 Troop,Beijing 102205,China)
出处
《现代防御技术》
北大核心
2022年第6期110-116,共7页
Modern Defence Technology
关键词
模糊等级
ER算法
分布置信结构
等级匹配转换
重要参数
性能评估
fuzzy grade
evidential reasoning
distributed confidence structure
grade matching con⁃version
important parameters
performance evaluation