| 模糊集理论在多传感器信息融合中的应用 |
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| 引用本文： | 杨永旭,陈旭辉.模糊集理论在多传感器信息融合中的应用[J].计算机应用与软件,2011,28(11). |
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| 作者姓名： | 杨永旭 陈旭辉 |
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| 作者单位： | 兰州理工大学计算机与通信学院 甘肃兰州730050 |
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| 基金项目： | 国家自然科学基金(61065007) |
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| 摘 要： | 在多传感器信息融合系统中,融合系统处理的信息本质具有模糊性,而模糊集理论具有处理模糊问题和模糊推理的优势,因此,模糊集理论已被广泛应用在多传感器信息融合领域。描述的信息融合方法中,通过引入隶属函数的概念,对传感器的测量值进行模糊化处理;利用模糊综合评判原理把传感器的信息融合问题转化为模糊综合评判过程。通过仿真实验验证,这种信息融合方法计算量小、信息融合精度高。
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| 关 键 词： | 隶属函数 综合评判 多传感器 信息融合 |
THE APPLICATION OF FUZZY SET THEORY IN MULTI-SENSORS INFORMATION FUSION |
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| Yang Yongxu,Chen Xuhui.THE APPLICATION OF FUZZY SET THEORY IN MULTI-SENSORS INFORMATION FUSION[J].Computer Applications and Software,2011,28(11). |
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| Authors: | Yang Yongxu Chen Xuhui |
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| Affiliation: | Yang Yongxu Chen Xuhui (School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,Gansu,China) |
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| Abstract: | In the multi-sensor information fusion system,the information to be processed by fusion system is of fuzzy in nature,since the fuzzy set theory has the advantages in handling fuzzy problem and fuzzy inference,so it has been widely used in multi-sensors information fusion areas.In information fusion method depicted in this paper,by introducing membership function concept the authors handle the fuzzy processing on measured value of sensors,and through utilising fuzzy comprehensive evaluation principle they tr... |
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| Keywords: | Membership function Comprehensive evaluation Multi-sensors Information fusion |
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