引用本文: | 毛剑琴,岳玉芳,张建刚,代冀阳,李幼平.复杂系统模糊建模的模糊树方法[J].控制理论与应用,2002,19(2):153~156.[点击复制] |
MAO Jianqin,YUE Yufang,ZHANG Jiangang,DAI Jiyang,LI Youping.Fuzzy-Tree Method for Complex System Fuzzy Modeling[J].Control Theory and Technology,2002,19(2):153~156.[点击复制] |
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复杂系统模糊建模的模糊树方法 |
Fuzzy-Tree Method for Complex System Fuzzy Modeling |
摘要点击 1904 全文点击 2109 投稿时间:1998-10-28 修订日期:2001-05-09 |
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DOI编号 10.7641/j.issn.1000-8152.2002.2.001 |
2002,19(2):153-156 |
中文关键词 模糊建模 二叉树 隶属函数 |
英文关键词 fuzzy modeling binary tree membership function |
基金项目 北京市自然科学基金(4992007); 博士点基金(2000000625)资助项目. |
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中文摘要 |
对含高度非线性的复杂系统的模糊建模提出了一种二叉线性模糊树方法. 证明了对n维空间中任一闭集上有限样本集或连续函数, 总存在模糊树模型以任一精度逼近之. 模糊树模型在一定程度上模拟了对复杂问题进行分层、分段简化决策的思维过程, 故对其进一步的研究具有科学与应用价值. |
英文摘要 |
A binary linear fuzzy tree structure approach, i.e., FT model, is proposed for complex nonlinear system fuzzy modeling. It is proved that for any continuous function of L 2(\%R\% n), there always exists an FT model to approximate it arbitrarily well. In some sense, FT model simulates the layered decision_making and piece_wise linearized processing procedure for solving complex problems. |
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