摘要
针对传统模糊综合评判法中隶属度函数的选择过于主观而导致的评估结果无法唯一确定的问题,引入定性与定量概念转换模型——云模型,提出了一种基于云模型的模糊综合评判法。首先,通过引入云模型替代了原始模糊综合评判法中单一的隶属度函数,使定性结果的随机性与模糊性得以表征。其次,在评价过程中,通过改进评价范围的划分,避免了分界太绝对的问题;同时,基于该叉量化区间确定新的量化区间,并依此得到评价云模型,避免了逆向云的运算。最后,通过评估飞行规避安全性实例分析了云模型综合评判法、原始模糊综合评判法及所提算法的评估性能,验证其有效性。
The traditional method of fuzzy comprehensive assessment has the problem that the evaluation result is not well-determined because the choosing of the membership function is too subjective.A qualitative and quantitative conceptual conversion model,named the cloud model,is introduced,and a fuzzy comprehensive assessment method based on the cloud model is proposed.First,by introducing the cloud model to replace the single membership function in the original fuzzy comprehensive assessment method,the randomness and ambiguity of the qualitative results are characterized.Secondly,in the evaluation process,the problem of absolute boundary is avoided by improving the division of the evaluation scope.At the same time,a new quantification interval is determined based on the cross quantification interval,and the cloud model is obtained accordingly to avoid the computing of the reverse cloud.Finally,the evaluation performance of the three methods of the cloud-model comprehensive evaluation method,the original fuzzy comprehensive evaluation method and the proposed algorithm is analyzed by evaluating the example of flight avoidance safety,and the validity of the proposed method is verified.
作者
李首庆
LI Shou-qing(Civil Aviation Flight University of China,Guanghan 618307,China)
出处
《电光与控制》
北大核心
2018年第12期84-89,共6页
Electronics Optics & Control
基金
中国民用航空飞行学院面上项目(J2016-68)
国家自然科学基金民航联合基金项目(U1733203)
民航安全能力建设专业项目(DFS2018404)
关键词
模糊综合评判
隶属度
云模型
隶属度函数
fuzzy comprehensive assessment
subjection degree
cloud model
membership function
