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应用科学学报 ›› 2000, Vol. 18 ›› Issue (4): 327-330.

• 论文 • 上一篇    下一篇

一个有效的区间值模糊推理方法

李凡1, 徐章艳2   

  1. 1. 华中科技大学计算机学院, 湖北武汉 430074;
    2. 广西师范大学数学与计算机学院, 广西桂林 541004
  • 收稿日期:1999-10-23 修回日期:2000-03-29 出版日期:2000-12-31 发布日期:2000-12-31
  • 作者简介:李凡(1943-),男,湖北潜江市人,教授.
  • 基金资助:
    国家高性能计算基金资助项目(99313);华中科技大学科学研究基金资助项目(M99015)

An Efficient Interval-valued Fuzzy Reasoning Approach

LI Fan1, XU Zhang-yan2   

  1. 1. College of Computer, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. College of Mathematics and Computer, Guangxi Normal University, Guilin 541004, China
  • Received:1999-10-23 Revised:2000-03-29 Online:2000-12-31 Published:2000-12-31

PDF

110

被引次数

33

摘要： 在区间值模糊集理论的基础上,提出了一种基于区间值模糊集的模糊产生式规则的推理方法。为采用这类规则进行推理,文中给出了规则前件与事实是否匹配的模糊匹配函数.最后用实例说明采用区间值模糊产生式规则进行不精确推理的方法.

关键词: 区间值模糊集, 模糊匹配函数, 不精确推理, 区间值模糊产生式规则

Abstract: Based on the interval-valued fuzzy set theory, a reasoning method for a interval-valued fuzzy production rules based on interval-valued fuzzy set is proposed. In order to use the new rule for reasoning, a interval-valued fuzzy matching function, by which whether the antecedent of interval-valued fuzzy production rule matches the fact can be judged, is given. Finally, the process of inexact reasoning is illustrated with an example.

Key words: interval-valued fuzzy set, fuzzy matching function, inexact reasoning, interval-valued fuzzy production rule

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