摘要
给出由有限论域上的Vague集导出的分拆真模糊向量和分拆非假模糊向量的定义。进而得到Vague集近似推理的真近似推理模型和非假近似推理模型。最后得到Vague集正向近似推理结论和逆向近似推理结论。实例表明这种Vague集双向近似推理方法是可行的。
According to Vague sets on finite universe of discourse,definitions of partition true fuzzy vector and partition non-false fuzzy vector is presented.Secondly,the models of true approximate reasoning and non-false approximate reasoning of Vague set approximate reasoning is obtained.Finally,conclusions of toward chained approximate reasoning and approximate reasoning backward of Vague set are gained.An example shows that the proposed method is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第6期172-174,177,共4页
Computer Engineering and Applications
基金
海南省教育厅高校科学研究资助项目(No.Hjkj200732)。
关键词
分拆真模糊向量
分拆非假模糊向量
真近似推理模型
非假近似推理模型
partition true fuzzy vector
partition non-false fuzzy vector
model of true approximate reasoning
model of non-false approximate reasoning
