加权模糊Petri网的推理算法研究  

Research on Reasoning Algorithm of Weighted Fuzzy Petri Net

作　　者：申宇皓[1] 孟晨[1] 傅振华[2] 石纯[3] 张磊[2] 

机构地区：[1]军械工程学院导弹工程系,河北石家庄050003 [2]军械工程学院科研部,河北石家庄050003 [3]军械工程学院政治部,河北石家庄050003

出　　处：《军械工程学院学报》2008年第3期59-62,共4页Journal of Ordnance Engineering College

摘　　要：将加权模糊Petri网与矩阵运算相结合，提出了一种推理算法，实现知识的推理运用。该算法利用了加权模糊Petri网的并行处理能力，将复杂的推理过程采用矩阵运算实现，充分考虑了多种约束条件，具有简单、高效、易于实现等优点，适合大型复杂加权模糊Petri网的推理计算。最后以实例对算法进行了验证。Weighted Fuzzy Petri Net is combined with matrix operations, and a reasoning algorithm is proposed to achieve the reasoning of knowledge. The algorithm demonstrates the parallel procession for Weighted Fuzzy Petri Net, and implements complicated reasoning by means of matrix operations. It adequately considers variousr kinds of constraint conditions. The algorithm is simple and efficient, realized more easily and suited to the reasoning of large complex Weighted Fuzzy Petri Net. An example is shown to verify the algorithm.

关 键 词：加权模糊PETRI网 模糊知识 推理算法 矩阵运算 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]