| 粗糙集和证据理论在磨粒识别中的应用 |
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| 引用本文： | 钟新辉,费逸伟,李华强,姜旭峰.粗糙集和证据理论在磨粒识别中的应用[J].润滑与密封,2005(5):143-144,147. |
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| 作者姓名： | 钟新辉 费逸伟 李华强 姜旭峰 |
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| 作者单位： | 1. 空军工程大学工程学院,陕西西安,710038;徐州空军学院,江苏徐州,221006
2. 徐州空军学院,江苏徐州,221006 |
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| 摘 要： | 为了便于对磨粒进行识别，首先利用粗糙集理论对磨粒参数信息进行约简，并形成待决策问题的经验决策表。然后，利用粗糙集理论和证据理论的关系，计算待决策信息的有关证据的基本概率指派和条件概率指派。最后，按照合成规则对上述条件概率指派进行合成，并根据决策规则对磨粒进行分类。
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| 关 键 词： | 磨粒识别 证据理论 粗糙集 |
| 文章编号： | 0254-0150（2005）5-143-2 |
| 收稿时间： | 2004-10-13 |
| 修稿时间： | 2004-10-13 |
Study on Debris Recognition Based on Rough Sets Theory and Evidence Theory |
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| Zhong Xinhui,Fei Yiwei,Li Huaqiang,Jiang Xufeng.Study on Debris Recognition Based on Rough Sets Theory and Evidence Theory[J].Lubrication Engineering,2005(5):143-144,147. |
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| Authors: | Zhong Xinhui Fei Yiwei Li Huaqiang Jiang Xufeng |
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| Abstract: | In order to classify debris, debris feature parameters were simplified based on rough sets theory, and an experiential decision-making table was set up. Then basic probability assignment and condition probability assignment of the related evidence about decision-making information were calculated according to the relationship between rough sets theory and evidence theory. Finally, according to the combination rule, the above condition probability assignment was combined, and debris were classified according to the rules of decision-making. |
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| Keywords: | debris recognition evidence theory rough set |
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