计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (11): 139-141.

• 数据库、信号与信息处理 • 上一篇    下一篇

利用隶属函数宽度的模糊插值推理方法

李 霞1,李瑞华2,石 岩3   

  1. 1.石家庄经济学院 信息工程学院,石家庄 050031
    2.阳泉师范高等专科学校,山西 阳泉 045200
    3.九州东海大学 工程学院 信息系统工程系,日本
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-04-11 发布日期:2011-04-11

Fuzzy interpolative-type reasoning method using width of membership function

LI Xia1,LI Ruihua2,SHI Yan3   

  1. 1.School of Information Engineering,Shijiazhuang University of Economic,Shijiazhuang 050031,China
    2.Yangquan Teachers College,Yangquan,Shanxi 045200,China
    3.School of Information Science,Kyushu Tokai University,Japan
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-04-11 Published:2011-04-11

摘要: 提出了一种基于隶属函数的宽度的模糊推理方法,该方法应用范围广,使用于所有正规的凸模糊集,能够保证结果的正规性和凸性,而且能够很好地推广到多输入情况。

关键词: 模糊推理, 规则库, 稀疏模糊规则库, 凸模糊集合的宽度

Abstract: A new fuzzy reasoning method based on the width of membership functions is proposed.This reasoning method is so extensive that it can apply to all normal and convex fuzzy sets.The reasoning consequences are always normal and convex.This method is also effective in multi-input instance.

Key words: fuzzy reasoning, rule base, sparse fuzzy rule base, width of convex fuzzy set