一种模糊Petri Nets的逆向推理算法  

A Backward Inference Algorithm of Fuzzy Petri Nets

作　　者：黄红梅[1] 

机构地区：[1]广东水利电力职业技术学院,广东广州510510

出　　处：《烟台职业学院学报》2008年第3期77-82,共6页Journal of Yantai Vocational College

摘　　要：将模糊Petri Nets与矩阵运算相结合,研究了逆向的形式化推理算法。通过对问题空间的消简,抽取与问题相关的规则和解空间,采用矩阵运算实现复杂的推理过程。算法充分利用模糊Petri Nets的并行处理能力,使逆向模糊推理过程更加简单,同时可以求得前提命题的最小真度。此方法可以用于智能故障诊断中,获取故障点的前提条件的可信度序列,利用经验知识提供诊断结果。This paper combines fuzzy Petri Nets and matrix computation to study the formative backward inference algorithm.By reducing the problem space and extracting the relevant problem rules and resolve space,uses matrix computation to implement the complex reasoning process.The algorithm fully utilize the parallel processing capability of fuzzy Petri Nets,to make the converse fuzzy reasoning process simpler and able to get the minimum true value of the precondition proposition.It can be applied to the intelligent failure diagnostic,also get the credible sequence of precondition proposition for failure point,thus to use the experience knowledge to achieve the diagnostic result.

关 键 词：模糊Petri NETS 逆向模糊推理 反问题 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]