一种新的基于直觉模糊Petri网的模糊推理算法  

A novel fuzzy reasoning algorithm based on intuitionistic fuzzy Petri nets

作　　者：申蔓蔓 乐晓波[1] 周恺卿 

机构地区：[1]长沙理工大学计算机与通信工程学院,湖南长沙410114 [2]马来西亚理工大学计算学院,马来西亚utm士古来柔佛洲80310

出　　处：《计算机工程与科学》2015年第2期354-358,共5页Computer Engineering & Science

基　　金：国家自然科学基金资助项目(61170199);湖南省自然科学基金资助项目(08JJ3124)

摘　　要：基于模糊Petri网的推理机制研究是模糊Petri网领域的热点问题之一。在基于直觉模糊Petri网模型框架下的推理过程中引入库所重排策略及可激活变迁判断公式,提出一种新的基于直觉模糊Petri网的模糊推理算法。通过与已有文献的推理算法的对比分析,在得到同样精确结果的前提下,本算法能够有效地简化推理过程,节省推理时间,降低算法的时间复杂度。Knowledge reasoning is a typical application of fuzzy Petri nets. According to the existing literatures,a novel reasoning algorithm based on the reseheduling strategy of places and a judgment formula for transition status,is proposed to improve the reasoning effectiveness by using the intuitionistic fuzzy Petri nets. The case study illustrates that, compared with the existing algorithms,the proposed algorithm simplifes the reasoning process,saves the reasoning time,and reduces the algorithm complexity when remaining the same accuracy.

关 键 词：直觉模糊集合 直觉模糊Petri网 重排策略 模糊推理 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程]