| 基于粗糙集与贝叶斯网络的推理和诊断模型 |
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| 引用本文： | 申锦标,吕跃进.基于粗糙集与贝叶斯网络的推理和诊断模型[J].广西大学学报(自然科学版),2009,34(6). |
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| 作者姓名： | 申锦标 吕跃进 |
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| 作者单位： | 广西大学,数学与信息科学学院,广西,南宁,530004 |
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| 基金项目： | 国家自然科学基金，广西自然科学基金，广西大学科研基金资助项目 |
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| 摘 要： | 基于粗糙集知识约简、规则提取的优势和贝叶斯网络强大的推理能力,对决策表进行约简和提取决策规则获取节点关系、节点概率分布等信息,以获取的信息为基础建立贝叶斯网络模型.然后通过贝叶斯网络实现进行高效快速的推理和诊断.实例分析表明,该方法是可行有效的.
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| 关 键 词： | 粗糙集 贝叶斯网络 决策规则 约简 |
A reasoning and diagnosis model based on rough sets and bayesian networks |
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| SHEN Jin-biao,LV Yue-jin.A reasoning and diagnosis model based on rough sets and bayesian networks[J].Journal of Guangxi University(Natural Science Edition),2009,34(6). |
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| Authors: | SHEN Jin-biao LV Yue-jin |
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| Abstract: | Based on rough set knowledge reduction, rules extraction and the powerful bayesian Net-work reasoning ability, the reduction of the decision-making table and the extraction of decision rules help obtain such information as the relationship between nodes and the node probability distribution, thus establishing a bayesian network model Next the bayesian network can be applied to realize fast and efficient reasoning and diagnosis. And the analysis of examples shows that this method is feasi-ble and effective. |
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| Keywords: | rough sets bayesian networks decision rules reduction |
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