| 二型模糊系统的规则提取算法 |
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| 引用本文： | 张伟斌,胡怀中,刘文江.二型模糊系统的规则提取算法[J].控制与决策,2009,24(3). |
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| 作者姓名： | 张伟斌 胡怀中 刘文江 |
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| 作者单位： | 1. 西安交通大学,电子与信息工程学院,西安,710049;太阳计算机系统(中国)有限公司,北京,100084
2. 西安交通大学,电子与信息工程学院,西安,710049 |
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| 摘 要： | 模糊规则提取是建立二型模糊系统需要解决的关键问题.提出一种改进的基于c均值模糊聚类算法(FCM)的二型模糊规则提取方法.该方法借助于二型模糊集主隶属度函数的期望与次隶属度函数值之间的联系,能克服已有算法忽略二型模糊集次隶属度函数对模糊聚类结果的影响.仿真实例表明.该算法能成功地提取二型模糊规则,比FCMV算法具有更好的性能和收敛性.
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| 关 键 词： | 二型模糊系统 隶属度函数 模糊聚类 规则提取 |
Rules extraction algorithm of type-2 fuzzy systems |
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| ZHANG Wei-bin,HU Huai-zhong,LIU Wen-jiang.Rules extraction algorithm of type-2 fuzzy systems[J].Control and Decision,2009,24(3). |
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| Authors: | ZHANG Wei-bin HU Huai-zhong LIU Wen-jiang |
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| Affiliation: | 1.School of Electronic and Information;Xi'an Jiaotong University;Xi'an 710049;China;2.Sun Microsystems;Beijing 100084;China. |
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| Abstract: | Rules extraction is a key issue to type-2 fuzzy logic system(T2FLS).A general algorithm to extract rules from type-2 fuzzy sets base on fuzzy c-means(FCM) clustering algorithm is proposed.The shortcomings of existing algorithms which neglect the effect of secondary membership function to fuzzy clustering in rules extraction are overcome according to the connection between the expectation of primary membership function and values of secondary membership function.The simulation results indicate that the propo... |
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| Keywords: | Type-2 fuzzy system Membership function Fuzzy clustering Rules extraction |
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