| 一种基于粗糙集理论的决策规则提取方法 |
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| 引用本文： | 高晓康,;薛军,;施雨辰. 一种基于粗糙集理论的决策规则提取方法[J]. 上海轻工业高等专科学校学报, 2009, 0(3): 179-182 |
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| 作者姓名： | 高晓康, 薛军, 施雨辰 |
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| 作者单位： | [1]上海应用技术学院机械与自动化工程学院,上海200235; [2]上海海事大学交通运输学院,上海200135 |
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| 基金项目： | 上海市教委重点课程建设项目;上海应用技术学院科技发展基金（kJ2009-13） |
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| 摘 要： | 粗糙集理论是一种新兴的数学工具，用于分析、处理不确定或不完整的复杂信息，适合于从大量复杂的数据中发现隐含的、潜在有用的规律。提出了一种基于粗糙集理论的决策规则提取方法，通过重要度分析和属性约简，找出影响决策属性的关键因素。通过值约简，得出决策规则。运用该方法对大学生自主学习风气与能力培养之间的关系进行研究，实例分析表明，这种新的方法具有实际应用价值。
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| 关 键 词： | 粗糙集 属性约简 决策规则 值约简 |
A Decisive-Rule-Extracting Method based on Rough Set Theory |
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| Affiliation: | GAO Xiao-kang , XUE Jun , SHI Yu-chen (1. School of Mechanical and Automation Engineering, Shanghai Institute of Technology, Shanghai 200235 2. College of Transportation, Shanghai Maritime University, Shanghai 200135, China) |
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| Abstract: | Rough set theory is a new mathematical tool for analyzing and dealing with uncertain or incomplete complex information. It can discover implicit or underlying rules or principles from huge amounts of information. This paper puts forward a decisive rule extract method based on Rough Set theory. The key factors influencing decisive attributes are detected through importance analysis and attribute reduction, and the decisive rules are revealed by value reduction. The new method is used to analyze the relationship between autonomous learning and capacity training of university students. Real case study proved the effectiveness of this new method. |
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| Keywords: | rough set attribute reduction decisive principle value reduction |
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