| 直觉模糊支持向量机 |
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| 引用本文： | 哈明虎,黄澍,王超,王晓丽.直觉模糊支持向量机[J].河北大学学报(自然科学版),2011,31(3):225-229. |
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| 作者姓名： | 哈明虎 黄澍 王超 王晓丽 |
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| 作者单位： | 1. 河北大学数学与计算机学院,河北,保定,071002
2. 河北大学物理科学与技术学院,河北保定,071002 |
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| 基金项目： | 国家自然科学基金资助项目，河北省自然科学基金资助项目，河北大学自然科学基金资助项目 |
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| 摘 要： | 传统的模糊支持向量机难以区分具有相同隶属度的稀疏样本点和稠密样本点,进而可能降低分类精度.为了解决此类问题,利用直觉模糊集和模糊支持向量机,构建了直觉模糊支持向量机.仿真实验结果表明:与传统的支持向量机和模糊支持向量机相比,直觉模糊支持向量机的分类结果更精确.
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| 关 键 词： | 模糊支持向量机 直觉模糊集 直觉模糊支持向量机 |
Intuitionistic Fuzzy Support Vector Machine |
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| HA Ming-hu,HUANG Shu,WANG Chao,WANG Xiao-li.Intuitionistic Fuzzy Support Vector Machine[J].Journal of Hebei University (Natural Science Edition),2011,31(3):225-229. |
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| Authors: | HA Ming-hu HUANG Shu WANG Chao WANG Xiao-li |
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| Institution: | 1(1.College of Mathematics and Computer,Hebei University,Baoding 071002,China;2.College of Physics Science and Technology,Hebei University,Baoding 071002,China) |
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| Abstract: | Since the traditional fuzzy support vector machine hardly distinguishes between sparse sample points and dense sample points with the same membership,it may further reduce the classification accuracy.In order to solve the problem,by using the fuzzy support vector machine and intuitionistic fuzzy sets,the intuitionistic fuzzy support vector machine is constructed.The simulation experiment shows that the classified result by using the intuitionistic fuzzy support vector machine is more accurate than the traditional fuzzy support vector machine and the fuzzy support vector machine. |
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| Keywords: | fuzzy support vector machine intuitionistic fuzzy set intuitionistic fuzzy support vector machine |
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