| 基于粗糙集理论的多传感器信息融合及其在机器人中的应用 |
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| 引用本文： | 韦文山,李海华.基于粗糙集理论的多传感器信息融合及其在机器人中的应用[J].煤炭技术,2011,30(3). |
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| 作者姓名： | 韦文山 李海华 |
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| 作者单位： | 广西民族大学,物理与电子工程学院,南宁,530006 |
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| 摘 要： | 将粗糙集理论应用于多传感器信息融合中,利用粗糙集理论的属性约简、值约简等相关约简概念剔除冗余信息,提取最简决策规则形成信息融合算法,有效的提高了信息融合系统的效率和准确性,并探讨了该算法在机器人中的应用。
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| 关 键 词： | 机器人 多传感器 信息融合 粗糙集理论 |
On Information Fusion of Multi-sensor and Its Application to Robot Based on Rough Set Theory |
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| WEI Wen-shan,LI Hai-hua.On Information Fusion of Multi-sensor and Its Application to Robot Based on Rough Set Theory[J].Coal Technology,2011,30(3). |
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| Authors: | WEI Wen-shan LI Hai-hua |
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| Abstract: | Apply the rough set theory to information fusion of multi-sensor,excludes redundant information and selects information fusion algorithm of concise decision rules through utilizing attribute of deduction theory,which includes attributes and attribute values reduction,to efficiently improve the efficiency and veracity of the information combination system,also discuss how to apply this algorithm to robot. |
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| Keywords: | robot multi-sensor information fusion rough set theory |
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