| 多传感器目标识别的Vague集方法研究 |
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| 引用本文： | 万树平. 多传感器目标识别的Vague集方法研究[J]. 计算机工程与应用, 2009, 45(13): 23-25. DOI: 10.3778/j.issn.1002-8331.2009.13.007 |
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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,南昌,330013 |
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| 基金项目： | 国家自然科学基金，江西省自然科学基金，江省教育厅科技项目 |
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| 摘 要： | 采用Vague集来表达目标特征的模糊测量信息，提出了一种基于Vague集的多传感器目标识别方法。定义两Vague值之间的贴近度，建立了Vague集表达的目标识别数据库模型，利用贴近度矩阵客观地确定了各特征的权重，根据综合贴近度给出目标识别算法。实例分析表明方法的有效性。
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| 关 键 词： | 多传感器 目标识别 Vague集 贴近度 |
| 收稿时间： | 2009-01-15 |
| 修稿时间： | 2009-2-17 |
Study on vague set method for multi-sensor object recognition |
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| WAN Shu-ping. Study on vague set method for multi-sensor object recognition[J]. Computer Engineering and Applications, 2009, 45(13): 23-25. DOI: 10.3778/j.issn.1002-8331.2009.13.007 |
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| Authors: | WAN Shu-ping |
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| Affiliation: | College of Information Technology，Jiangxi University of Finance and Economic，Nanchang 330013，China |
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| Abstract: | Vague set is used to represent the fuzzy measurement information of object characteristic.A new method of multi-sensor object recognition is proposed based on vague set.The method defines the similarity degree between two Vague values,and constructs the database model of object recognition based on vague set.The weights of characteristics are objectively determined by the matrix of similarity degree.The algorithm of object recognition is given according to the overall similarity degree.The example analysis ... |
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| Keywords: | multi-sensor object recognition vague set similarity degree |
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