基于后件直联型分层的广义混合模糊系统及其积分模逼近
CSTR:
作者:
作者单位:

1. 天津师范大学数学科学学院,天津300387;
2. 中国科学院数学与系统科学研究院,北京100190.

作者简介:

王贵君

通讯作者:

中图分类号:

TP183;O159

基金项目:

国家自然科学基金项目(61374009).


Generalized hybrid fuzzy system based on consequent direct link type hierarchy and its integral norm approximation
Author:
Affiliation:

(1. School of Mathematics Sciences,Tianjin Normal University,Tianjin 300387,China;
2. Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China.

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    首先, 引入后件直联型分层方法及其推理规则, 以对广义混合模糊系统的输入变量实施分层, 获得分层广义混合模糊系统的输入输出表达式和推理规则数的计算公式; 然后, 基于??- 积分模(度量) 和分片线性函数证明分层后广义混合模糊系统对一类可积函数具有逼近性; 最后, 通过模拟实例给出后件直联型分层广义混合模糊系统对可积函数的逼近过程. 模拟结果表明, 所提出的方法不仅能使原系统模糊规则总数大大减少, 而且能使分层后系统仍具有逼近性.

    Abstract:

    The methods of the consequent direct link type hierarchy and its inference rules are introduced, so that implement hierarchy for some input variables of the generalized hybrid fuzzy system. Consequently, the input and output expressions of the generalized hybrid fuzzy systems after hierarchy and the calculation formula of the total number of fuzzy rules are obtained. Then, based on the ??- integral norm(a metric) and a piecewise linear function, it is proved that the generalized hybrid fuzzy system after hierarchy has the approximation to a class of integrable functions. Finally, the approximation process of the consequent direct link type hierarchy generalized hybrid fuzzy systems to the integrable functions are given by an example. The results show that the hierarchical method can not only make the total number of fuzzy rules of the original system greatly reduced, but also make the system after hierarchy has keep the approximation.

    参考文献
    相似文献
    引证文献
引用本文

王贵君 宋巍巍 韩权杰.基于后件直联型分层的广义混合模糊系统及其积分模逼近[J].控制与决策,2015,30(10):1742-1750

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2014-07-06
  • 最后修改日期:2014-09-17
  • 录用日期:
  • 在线发布日期: 2015-10-20
  • 出版日期:
文章二维码