一种新的基于直觉模糊Petri网的模糊推理算法

J4 ›› 2015, Vol. 37 ›› Issue (02): 354-358.

一种新的基于直觉模糊Petri网的模糊推理算法

申蔓蔓1，乐晓波1，周恺卿2

(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)

收稿日期:2013-10-17 修回日期:2014-02-10 出版日期:2015-02-25 发布日期:2015-02-25
基金资助:
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）

A novel fuzzy reasoning algorithm
based on intuitionistic fuzzy Petri nets

SHEN Manman1，YUE Xiaobo1，ZHOU Kaiqing2

(1.School of Computer & Communication Engineering,
Changsha University of Science & Technology,Changsha 410114,China；
2.Faculty of Computing,Universiti Teknologi Malaysia,UTM Skudai,Johor 80310,Malaysia)

Received:2013-10-17 Revised:2014-02-10 Online:2015-02-25 Published:2015-02-25

摘要/Abstract

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。

关键词: 直觉模糊集合, 直觉模糊Petri网, 重排策略, 模糊推理

Abstract:

Knowledge reasoning is a typical application of fuzzy Petri nets.According to the existing literatures,a novel reasoning algorithm based on the rescheduling 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.

Key words: intuitionistic fuzzy set;intuitionistic fuzzy Petri nets;rescheduling strategy;fuzzy reasoning

申蔓蔓1，乐晓波1，周恺卿2. 一种新的基于直觉模糊Petri网的模糊推理算法[J]. J4, 2015, 37(02): 354-358.

SHEN Manman1，YUE Xiaobo1，ZHOU Kaiqing2. A novel fuzzy reasoning algorithm
based on intuitionistic fuzzy Petri nets [J]. J4, 2015, 37(02): 354-358.

[1]	孙晓玲，王宁. 基于直觉模糊Petri网的故障诊断[J]. J4, 2014, 36(09): 1736-1741.
[2]	张弛1，乐晓波1，周恺卿2，莫礼平3. 采用差分进化算法优化模糊Petri网参数[J]. J4, 2014, 36(06): 1095-1100.
[3]	陈海亮，雷琳，周石琳. 一种基于空间规则度的谱图划分提取舰船编队方法[J]. J4, 2012, 34(5): 116-120.
[4]	徐小来1,2，朱华勇1，贺中武2，王伟2，牛轶峰1. 基于UKF的自适应模糊推理神经网络[J]. J4, 2012, 34(4): 82-87.
[5]	孙晓玲，王宁，梁艳. 应用带标识的模糊Petri网的模糊推理[J]. J4, 2012, 34(3): 152-157.
[6]	马盈仓陈建斌. 泛蕴涵推理机及其应用[J]. J4, 2007, 29(11): 90-93.
[7]	王罡陈木彬梁福鸿郑淑梅. Robocup仿真比赛传球策略研究[J]. J4, 2007, 29(10): 101-104.