摘要
提出了一种基于相似性的加权模糊产生规则计算方法.该方法允许权重与确定因子等参数用普通的语言词来表示,从而提高了模糊产生规则的知识表示力,使其更符合人们的思维习惯,为其应用提供了更大的范围.还提出了一种改进的方法来计算结果的模糊值及其确定因子,从而使计算结果更加合理.
A similarity-based weighted fuzzy production rule evaluation method is presented. The method allows that the parameters such as weights, certainty factors appearing in the rules are presented by linguistic terms, which enhances the knowledge representation power of a weighted fuzzy production rule and becomes more flexible and more intelligent. An enhanced method to compute the fuzzy value and the certainty factor of the consequent is proposed too, which makes the consequent more reasonable.
出处
《河北大学学报（自然科学版）》
CAS
北大核心
2005年第6期659-663,共5页
Journal of Hebei University(Natural Science Edition)
基金
国家自然科学基金资助项目(60573069
60473045)
河北省自然科学基金资助项目(F2004000129)
关键词
近似推理
加权模糊产生规则
语言词
模糊集
确定因子
approximate reasoning
weighted fuzzy production rules
linguistic terms
fuzzy sets
certainty factor
