多传感器信息融合的Vague集法  

Vague Set Method for Multi-sensor Information Fusion

作　　者：万树平[1] 

机构地区：[1]江西财经大学信息管理学院,南昌330013

出　　处：《计算机工程》2009年第12期259-260,263,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(10626029);江西省自然科学基金资助项目(0611082;2007GQS0074)

摘　　要：采用Vague集表达传感器的模糊测量信息,提出一种基于Vague集的多传感器信息融合方法,给出基于Vague集的模型描述,定义2个Vague集之间的距离,利用TOPSIS法,根据相对接近度给出信息融合的算法。该方法充分考虑了测量信息的隶属度与非隶属度两方面的不确定信息。仿真实例验证了算法的有效性。This paper uses Vague set to represent the fuzzy measurement information of sensors, and proposes a new fusion method for multi-sensor data based on Vague set. The method describes accurately the fusion model based on Vague set, and defines the distance between two Vague sets. By appliying Technique for Order Preference by Similarity to Ideal Solution（TOPSIS） method, the fusion algorithm is given by virtue of the relative closeness degree. It considers sufficiently the uncertain information of membership and non-membership degrees for measurement information. Simulation example proves that the method is effective.

关 键 词：多传感器 数据融合 VAGUE集 相对接近度 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]