摘要
针对目标识别中的不确定性问题,提出一种基于直觉模糊多属性决策的识别方法.首先,定义直觉模糊集之间的可能度,并提出了基于可能度的直觉模糊集排序方法;然后,建立了目标类型识别模型,在用直觉模糊集表达目标特征模糊测量信息的基础上,提出了基于直觉模糊有序加权几何平均算子的多属性决策方法.最后的应用实例表明,所提出的方法是有效的,并易于编程实现,具有较强的实用性.
To process the uncertainties of target identification,a technique based on intuitionistic fuzzy multiple attribute decision-making is proposed.Firstly,the possible degree for intuitionistic fuzzy set(IFS)is defined,and an ordering method for IFS is proposed.Then,IFS is used to represent the fuzzy measurement information of object characteristics,and the model of target identification is constructed,also a multiple attribute decision-making method based on ordered weighted geometric averaging(OWGA)aggregation operators is proposed.Finally,the experiments show that the method is effective, and it can be programmed easily and applied widely.
出处
《控制与决策》
EI
CSCD
北大核心
2011年第7期1046-1050,共5页
Control and Decision
基金
国家自然科学基金项目(60773209)
关键词
直觉模糊集
目标识别
集成算子
模糊决策
intuitionistic fuzzy sets
target identification
aggregation operator
fuzzy decision