| 基于改进RPCL算法的模糊推理系统构建方法 |
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| 引用本文： | 杨昔阳. 基于改进RPCL算法的模糊推理系统构建方法[J]. 郑州大学学报(理学版), 2006, 38(4): 107-111 |
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| 作者姓名： | 杨昔阳 |
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| 作者单位： | 泉州师范学院数学系,福建,泉州,362000 |
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| 基金项目： | 泉州师范学院校自选课题,编号校2006N13 |
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| 摘 要： | 给出了一种改进的RPCL算法,然后提出了一种基于此算法的Sugeno型模糊推理系统构造方法.该方法首先对训练样本子集聚类以形成初始模糊规则集合,然后对初始模糊规则集合再次聚类以确定模糊语言值个数和隶属函数,从而克服了以往规则提取法在训练样本不充分时规则数目难以确定及规则提取不足等缺点.最后,以倒车实验为例验证了该方法的有效性.
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| 关 键 词： | 聚类 改进RPCL算法 模糊规则 模糊推理系统 |
| 文章编号： | 1671-6841(2006)04-0107-05 |
| 收稿时间： | 2006-05-01 |
| 修稿时间： | 2006-05-01 |
Constructing a Fuzzy Inference System Based on Improved RPCL Algorithm |
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| YANG Xi-yang. Constructing a Fuzzy Inference System Based on Improved RPCL Algorithm[J]. Journal of Zhengzhou University(Natrual Science Edition), 2006, 38(4): 107-111 |
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| Authors: | YANG Xi-yang |
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| Affiliation: | Department of Mathematics, Quanzhou Normal University, Quanzhou 362000, China |
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| Abstract: | An improved RPCL algorithm is proposed,and then a new method of constructing a Sugeno fuzzy inference system based on this improved RPCL algorithm is designed.This method overcomes the disadvantages in the available methods in which the extracting rules are not perfect and it is hard to determine the rule number when the training samples are not enough.Finally,truck backer-upper problem validates the feasibility of this method. |
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| Keywords: | clustering improved RPCL algorithm fuzzy rule fuzzy inference system |
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