基于中介逻辑的模糊知识表示及应用  

Fuzzy Knowledge Representation Based on Medium Logic and Its Application

作　　者：王岑[1] 潘正华[1] 

机构地区：[1]江南大学理学院,江苏无锡214122

出　　处：《计算机工程与科学》2008年第11期80-82,108,共4页Computer Engineering & Science

基　　金：国家自然科学基金资助项目(60575038)

摘　　要：本文基于中介逻辑理论,在知识描述中区分知识的"矛盾"与"对立",肯定对立的模糊概念之间存在中介对象(中介概念),将矛盾否定与对立否定运用于知识表示中;并以一金融决策实际问题为例,采用距离比率函数为模糊谓词表达式赋予属于[0,1]区间的真值,结合中介谓词逻辑的无穷值语义模型与具体情形,给出了模型中变量(取值的一种确定方法及其意义,最后通过一具体实例讨论了模糊知识推理。Based on the theory of medium logic, the paper differentiates eontradictory from opposition in knowledge representation, affirms that there exists a medium concept between a pair of opposite fuzzy concepts,and introduces fuzzy privative and opposition privative in traditional knowledge representation, It takes a financial decision-making program for example, adopts a ratio function of distance to endow each fuzzy predicate expression with a truth value which belongs to the interval [0, 1]. Based on the infinite-valued model of MF, it gives a method to ascertain the value of variable λ in the model according to specific eases, from which the effect and meaning of λ are shown. Finally it discusses fuzzy knowledge reasoning by a specific example.

关 键 词：模糊知识表示 中介逻辑 无穷值模型 真值程度 

分 类 号：O159[理学—数学]