Parallel backward reasoning study using fuzzy Petri net

doi:10.3778/j.issn.1002-8331.2008.21.042

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (21): 151-153.DOI: 10.3778/j.issn.1002-8331.2008.21.042

• 机器学习 • Previous Articles Next Articles

Parallel backward reasoning study using fuzzy Petri net

ZHANG Bai-yi,CUI Shang-sen

College of Information and Engineering，Chang’an University，Xi’an 710064，China

Received:2008-04-30 Revised:2008-05-26 Online:2008-07-21 Published:2008-07-21
Contact: ZHANG Bai-yi

FPN并行反向推理算法研究

张白一,崔尚森

长安大学信息工程学院，西安 710064

通讯作者: 张白一

Abstract

Abstract: Study on the fuzzy Petri net and the expert system，this paper builds up a fuzzy Petri net model for expert system，and a backward reasoning algorithm is proposed based on the model.Using an instance to test the algorithm at last，the result shows that it has the ability of parallel reasoning for complex expert system，and it is high-efficiency and is easy to implement.

Key words: fuzzy Petri net, data table, AND/OR tree, backward reasoning

摘要： 通过对Petri网模型和专家系统推理方法的研究，建立了模糊Petri网（FPN）推理模型。在此基础上提出了专家系统的FPN反向推理算法。最后通过实例对算法进行了检验，结果表明该算法具有解决复杂问题专家系统的并行推理能力，推理效率高，推理过程简单，容易实现。

关键词: 模糊Petri网, 数据表, 与/或树, 反向推理

ZHANG Bai-yi,CUI Shang-sen. Parallel backward reasoning study using fuzzy Petri net[J]. Computer Engineering and Applications, 2008, 44(21): 151-153.

张白一,崔尚森. FPN并行反向推理算法研究[J]. 计算机工程与应用, 2008, 44(21): 151-153.

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Parallel backward reasoning study using fuzzy Petri net

FPN并行反向推理算法研究

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