| 基于粗糙集和证据理论的目标识别方法研究 |
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| 引用本文： | 潘异峰,王加阳. 基于粗糙集和证据理论的目标识别方法研究[J]. 电脑与信息技术, 2011, 19(1): 21-24 |
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| 作者姓名： | 潘异峰 王加阳 |
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| 作者单位： | 中南大学信息科学与技术学院,长沙,410083 |
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| 基金项目： | 2009年长沙市节能专项资金 |
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| 摘 要： | 文章提出了一种基于粗糙集和证据理论的目标识别方法.首先对决策表进行约简得出决策规则,然后计算规则可信度分配和规则权重,最后根据改进的D-S合成规则进行规则合成,得到识别结果.
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| 关 键 词： | 粗糙集 证据理论 目标识别 |
Research on Target Recognition Method Based on Rough Set and Evidence Theory |
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| PAN Yi-feng,WANG Jia-yang. Research on Target Recognition Method Based on Rough Set and Evidence Theory[J]. Computer and Information Technology, 2011, 19(1): 21-24 |
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| Authors: | PAN Yi-feng WANG Jia-yang |
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| Affiliation: | PAN Yi-feng,WANG Jia-yang(Institute of Information Science and Engineering,Central South University,Changsha 410083,China) |
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| Abstract: | A method of target recognition based on rough sets and evidence theory was proposed.First,reduction of the decision table derived decision rule,then calculate the reliability of distribution rules and weight of rules,the last under the improved rules of D-S combination rules for synthesis,obtained recognition results. |
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| Keywords: | rough set evidence theory target recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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