| 运用Vague集进行多传感器目标识别 |
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| 引用本文： | 万树平.运用Vague集进行多传感器目标识别[J].传感器与微系统,2011,30(1):58-59,78. |
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| 作者姓名： | 万树平 |
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| 作者单位： | 江西财经大学,信息管理学院,江西,南昌,330013 |
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| 基金项目： | 国家自然科学基金资助项目，教育部人文社科基金资助项目，江西省教育厅科技计划资助项目，江西省教育科学"十一五"规划项目 |
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| 摘 要： | 针对具有多个特征指标的多传感器目标识别问题,采用 Vague 集表达目标特征的不确定信息,提出了一种新的多传感器目标识别方法.定义两 Vague 集之间的加权 Hamming 距离和相似度,建立了Vague 集表达的多传感器目标识别模型,通过最小化各目标类型的 Vague 度优化模型客观地确定了各特征的权重,利用相似度...
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| 关 键 词： | 多传感器目标识别 Vague集 加权Hamming距离 相似度 |
Applying Vague set for multi-sensor object recognition |
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| WAN Shu-ping.Applying Vague set for multi-sensor object recognition[J].Transducer and Microsystem Technology,2011,30(1):58-59,78. |
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| Authors: | WAN Shu-ping |
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| Affiliation: | WAN Shu-ping(College of Information management,Jiangxi University of Finance and Economics,Nanchang 330013,China) |
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| Abstract: | Aiming at the problem of multi-sensor object recognition with multiple characteristics,Vague set is used to represent the fuzzy measurement information of object characteristic.A new method of multi-sensor object recognition is proposed.The method defines the weighted Hamming distance and similarity degree between two Vague sets,and constructs the model of object recognition represented by Vague set.The weights of characteristics are objectively determined by the optimization model of minimizing the Vague degree of each object type.The algorithm of object recognition is given according to the similarity degree.The example analysis shows that the method is effective. |
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| Keywords: | multi-sensor object recognition Vague set weighted Hamming distance similarity degree |
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