基于语言值相似度推理的网络商家自评价方法

为更合理的表示不确定性知识,在格蕴涵代数的基础上,运用不同程度的语气词表达一个模糊命题的真值程度,建立一个基于2n元语言值格值一阶逻辑的知识表示模型。定义语言值相似度,提出语言值格值一阶逻辑中的语言值相似度推理方法。建立一个网络商家自评价系统,并以实例表明该方法能够表达和处理该自评价系统中的不确定性知识,有效帮助网络店主进行自我评价。

Online business self-evaluation system based on linguistic-valued similarity reasoning

In order to represent uncertainty knowledge more reasonable, a knowledge representation model was constructed with 2n-element linguistic-valued lattice-valued first-order logic which included different truth degree with different linguistic hedges based on lattice implication algebra system. The linguistic-valued similarity was defined and the similarity-based reasoning of ten-element linguistic-valued lattice-valued first-order logic was presented. A network business self-evaluation system was constructed and an example was given to illustrate that the proposed method could deal with the uncertain knowledge in the self-evaluation problems and help the network shopkeeper to evaluate themselves effectively.