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计算机工程 ›› 2007, Vol. 33 ›› Issue (07): 15-17. doi: 10.3969/j.issn.1000-3428.2007.07.005

• 博士论文 • 上一篇    下一篇

一种改进的基于规则的带权模糊推理算法

张 稳1,2,3,张桂戌1   

  1. (1. 华东师范大学计算机科学技术系,上海 200062;2. 上海大学理学院数学系,上海 200444;3. 华东师范大学软件学院,上海 200062)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-04-05 发布日期:2007-04-05

An Improved Rule-based Weighted Fuzzy Reasoning Algorithm

ZHANG Wen1,2,3, ZHANG Guixu1   

  1. (1. Department of Computer Science and Technology, East China Normal University, Shanghai 200062; 2. Department of Mathematics, College of Sciences, Shanghai University, Shanghai 200444; 3. Software Engineering Institute, East China Normal University, Shanghai 200062)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-04-05 Published:2007-04-05

摘要: 给出了一种基于带权模糊Petri网的模糊推理算法,这种算法可以适用于一类基于规则的系统,即可以对该类系统的带权模糊Petri网模型进行相应的处理。对系统建立了知识表示的带权模糊Petri网模型,使用该算法可以确定用户给定的库所之间是否存在联系,即相应的命题之间是否存在因果关系,可以计算出命题的模糊真值。对具体的算例进行了分析并与已有的算法进行了比较,得出该算法的优点。

关键词: 带权模糊Petri网, 模糊推理算法, 知识表示, 基于规则

Abstract: This paper points out a kind of weighted fuzzy reasoning algorithm. The algorithm is based on the knowledge presentation weighted fuzzy Petri net which can describe fuzzy production rules. The algorithm is suit for a kind of rule-based systems, that means it can deal with the weighted fuzzy Petri net model which results from the original system. After giving the model of the weighted fuzzy Petri net, one can calculate the fuzzy tokens of the appointed places which correspond to the true values of the relevant propositions by using this algorithm. Through the practical application, the algorithm has advantages compared with the current results obtained by the existed algorithm.

Key words: Weighted fuzzy Petri net, Fuzzy reasoning algorithm, Knowledge representation, Rule-based