| 基于云模型定性规则推理的分类方法 |
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| 引用本文： | 杨丽彬,李海林. 基于云模型定性规则推理的分类方法[J]. 计算机时代, 2011, 0(3): 4-6 |
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| 作者姓名： | 杨丽彬 李海林 |
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| 作者单位： | 1. 龙岩学院数学与计算机科学学院,福建,龙岩,364012
2. 大连理工大学系统工程研究所 |
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| 摘 要： | 根据粗糙集原理和模糊集理论,提出了一种基于云模型定性规则推理的分类方法,利用云的相关理论获得多条件单规则中包含隶属度的决策表,结合模糊模式识别技术进行样本分类。针对一些数据对象分别隶属于不同类别的情况,用定性概念来代替模糊集中的定量数据并建立二元关系,能对连续型数据进行更为简单合理的＂软＂分类,从而使基于定性概念的算法模型符合人类思维方式。
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| 关 键 词： | 云模型 规则推理 分类算法 定性概念 |
Classification Method Based on Qualitative Rule Reasoning of Cloud Model |
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| YANG Li-bin,LI Hai-lin. Classification Method Based on Qualitative Rule Reasoning of Cloud Model[J]. Computer Era, 2011, 0(3): 4-6 |
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| Authors: | YANG Li-bin LI Hai-lin |
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| Affiliation: | 1.School of Mathematics and Computer Science,Longyan University,Longyan,Fujian 364012,China; 2.Institute of Systems Engineering,Dalian University of Technology) |
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| Abstract: | According to the theories of rough set and fuzzy set,we propose a classification method based on the qualitative rule reasoning of cloud model.It uses cloud correlation theory to obtain a decision table consisting of multiple conditions and single rule with membership degree,combines the technology of fuzzy pattern recognition to classify samples.For some data objects attaching to different classes,we use the qualitative concept to replace the quantitative data in fuzzy set and build the binary relation,which can conduct more simple and reasonable soft classification on continuous data,so as to make the algorithm model based on qualitative concept conform to human thinking mode. |
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| Keywords: | cloud model rule reasoning classification algorithm qualitative concept |
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