模糊知识在语义网络中的实现  

Implementation of Fuzzy Knowledge Based on Semantic Network

作　　者：廖志闯[1] 程武山[1] 

机构地区：[1]上海工程技术大学机械工程学院,上海201620

出　　处：《上海工程技术大学学报》2013年第4期361-364,共4页Journal of Shanghai University of Engineering Science

基　　金：上海市教委085知识创新工程资助项目(JZ0906);上海市科委重点攻关资助项目(071105121)

摘　　要：以语义网络为基础,从确定性知识出发,结合实例对不确定知识的表示做了一定的探讨,并在Prolog环境中成功实现了模糊知识在语义网络中的表示,这不仅提高了语义网络描述客观世界知识的能力,也提高了其处理知识的效率,为知识的表示研究提供了一种新思路.Based on the semantic network and definite knowledge, the representation of fuzzy knowledge was discussed with an example. The representation of fuzzy knowledge in semantic network was implemented in Prolog environment, which not only improved the descriptive abilities of semantic network about objective world, but also increased the handling efficiency of knowledge, and provided a new idea for studies on knowledge representation.

关 键 词：语义网络 模糊知识 描述 PROLOG语言 

分 类 号：TP3-05[自动化与计算机技术—计算机科学与技术]