动态模糊逻辑关系学习

计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (29): 34-39.

动态模糊逻辑关系学习

宁春，李凡长

苏州大学计算机科学与技术学院，江苏苏州 215006

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-10-11 发布日期:2011-10-11

Dynamic fuzzy logic relational learning

NING Chun，LI Fanzhang

School of Computer Science and Technology，Soochow University，Suzhou，Jiangsu 215006，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-10-11 Published:2011-10-11

摘要/Abstract

摘要： 提出一种动态模糊逻辑（DFL）关系学习方法，该方法处理了动态模糊谓词和学习不同种类的动态模糊一阶规则的程序。针对不同类型的规则，定义了相关的置信度来考虑算法中的动态模糊谓词。通过实例验证了算法的有效性。

关键词: 动态模糊逻辑, 动态模糊关系学习, 动态模糊推理规则

Abstract: A Dynamic Fuzzy Logic（DFL） relational learning method is proposed to deal with dynamic fuzzy predicates and learn the program of various kinds of dynamic fuzzy first-order rules.In the next place，for the dynamic fuzzy predicates in the algorithm，relational guidelines are defined for the algorithm process.In the end，examples are taken to show the validity of the algorithm.

Key words: dynamic fuzzy logic, dynamic fuzzy relational learning, dynamic fuzzy inference rule

宁春，李凡长. 动态模糊逻辑关系学习[J]. 计算机工程与应用, 2011, 47(29): 34-39.

NING Chun，LI Fanzhang. Dynamic fuzzy logic relational learning[J]. Computer Engineering and Applications, 2011, 47(29): 34-39.