A Reasoning Algorithm for Fuzzy Petri Net Based on Table Structure

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原文链接

NETL

外文摘要：Two types of fuzzy production rules which is suited to the fuzzy Petri net is extracted by the research on the general rules and fuzzy reasoning algorithm firstly in this paper。 A 6-tuple fuzzy Petri net model is defined to represent the fuzzy production rules secondly。 Then maps the fuzzy Petri net model to a data table， and a fuzzy reasoning algorithm based on the table is implemented。 Through a practical instance to test the algorithm at last， the result shows that the algorithm not only is simple， high-powered and universal， but also it has parallel reasoning ability and fits into the large-scale FPN model reasoning。

外文关键词：

fuzzy production rulesfuzzy petri Netdata tablefuzzy reasoning

作者：

Cui Shangsen、Zhang Baiyi、Chen Zhang

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作者单位：

College of Information and Engineering, Chang'an University, Xi'an, Shaanxi province, China

School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi province, China

IBM Software Services for WebSphere, IBM USA

会议名称：

2006 International Conference on Artificial Intelligence: 50 Years' Achievements, Future Directions and Social Impacts

会议地点：

Beijing(CN)

会议母体文献：

International Conference on Artificial Intelligence; 20060801-03; Beijing(CN)

页码：

P.322-325

出版时间：

2006