| 基于粗糙集的CBR系统案例特征属性优化算法研究 |
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| 引用本文： | 万磊,孙继银,王莎莎. 基于粗糙集的CBR系统案例特征属性优化算法研究[J]. 微电子学与计算机, 2008, 25(1): 190-192 |
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| 作者姓名： | 万磊 孙继银 王莎莎 |
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| 作者单位： | 第二炮兵工程学院,陕西,西安,710025 |
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| 摘 要： | 提出了一种基于粗糙集理论和可辨识矩阵的改进型特征属性优化算法。该算法能更好地融入特征属性的背景知识和专家的经验知识,提高了案例检索效率。同时给出了该方法在通信装备故障诊断系统中的应用实例,验证了其有效性和准确性。
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| 关 键 词： | 案例推理 故障诊断 可辨识矩阵 粗糙集 |
| 文章编号： | 1000-7180（2008）01-0190-03 |
| 收稿时间： | 2007-01-23 |
| 修稿时间： | 2007-01-23 |
Research of Optimization Algorithm for Case Property of CBR System Based on Rough Set |
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| WAN Lei,SUN Ji-yin,WANG Sha-sha. Research of Optimization Algorithm for Case Property of CBR System Based on Rough Set[J]. Microelectronics & Computer, 2008, 25(1): 190-192 |
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| Authors: | WAN Lei SUN Ji-yin WANG Sha-sha |
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| Abstract: | This paper presents an optimization algorithm for case properties based on rough set theory and discernible matrix. The knowledge of context and expert experience can be better syncretized with case properties. This method has high retrieval speed, and the instance for fault diagnosis of communication equipment is made to test the method, running result shows the validity and veracity of the method. |
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| Keywords: | case reasoning fault diagnosis discernible matrix rough set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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