摘要
给出了一种基于带权模糊Petri网的模糊推理算法,这种算法可以适用于一类基于规则的系统,即可以对该类系统的带权模糊Petri网模型进行相应的处理。对系统建立了知识表示的带权模糊Petri网模型,使用该算法可以确定用户给定的库所之间是否存在联系,即相应的命题之间是否存在因果关系,可以计算出命题的模糊真值。对具体的算例进行了分析并与已有的算法进行了比较,得出该算法的优点。
This paper points out a kind of weighted fuzzy reasoning algorithm. The algorithm is based on the knowledge presentation weighted fuzzy Petri net which can describe fuzzy production rules. The algorithm is suit for a kind of rule-based systems, that means it can deal with the weighted fuzzy Petri net model which restdts from the original system. After giving the model of the weighted fuzzy Petri net, one can calculate the fuzzy tokens of the appointed places which corl＇espond to the true values of the relevant propositions by using this algorithm. Through the practical application, the algorithm has advantages compared with the current results obtained by the existed algorithm.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第7期15-17,共3页
Computer Engineering
基金
国家"973"计划基金资助重点项目(2005CB321900)
上海市自然科学启明星计划基金资助项目(03QG14016)
上海市教委局管基金资助重点项目(04JG05063)
