| 序信息系统中基于粗糙集的证据获取与合成 |
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| 引用本文： | 樊兵娇,徐伟华. 序信息系统中基于粗糙集的证据获取与合成[J]. 计算机科学, 2015, 42(6): 54-56 |
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| 作者姓名： | 樊兵娇 徐伟华 |
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| 作者单位： | 1. 重庆理工大学数学与统计学院 重庆400054
2. 重庆理工大学数学与统计学院 重庆400054;南京理工大学高维信息智能感知与系统教育部重点实验室 南京210094 |
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| 基金项目： | 国家自然科学基金，重庆市自然科学基金资助项目，南京理工大学高维信息智能感知与系统教育部重点实验室基金 |
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| 摘 要： | 通过在决策序信息系统中引入证据理论,提出一种基于粗糙集的证据获取与合成方法.利用证据信任度计算近似条件概率分配,根据属性重要度和证据支持度计算权重,然后用合成公式对近似条件概率分配进行合成,得到决策.
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| 关 键 词： | 粗糙集 近似条件概率分配 序信息系统 证据理论 证据支持度 |
Evidence Acquirement and Combination Method Based on Rough Set in Ordered Information System |
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| FAN Bing-jiao and XU Wei-hua. Evidence Acquirement and Combination Method Based on Rough Set in Ordered Information System[J]. Computer Science, 2015, 42(6): 54-56 |
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| Authors: | FAN Bing-jiao and XU Wei-hua |
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| Affiliation: | School of Mathematics and Statistics,Chongqing University of Technology,Chongqing 400054,China and School of Mathematics and Statistics,Chongqing University of Technology,Chongqing 400054,China;Key Laboratory of Intelligent Perception and Systems for High-dimensional Information Nanjing University of Science and Technology,Ministry of Education,Nanjing 210094,China |
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| Abstract: | A novel method of evidence acquirement and combination based on rough set was proposed by introducing evi-dence theory into the ordered decision information system.Confidence degrees of evidence are used to calculate approximate conditional probability assignments.Evidence weights are calculated according to the attribute significances and support degrees of evidence.Decisions are gained by using combinational rule to integrate approximate conditional pro-bability assignments. |
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| Keywords: | Rough set Approximate conditional probability assignment Ordered information system Evidence theory Support degrees of evidence |
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