摘要
针对一些复杂知识系统的知识不确定性及知识规则数量多的特点,在模糊Petri网(FPN)的基础上给出了面向对象模糊Petri网(object-oriented fuzzy Petri net,OOFPN)的形式化定义及其知识表示和知识推理。通过面向对象技术,可以采用模块化方法设计知识系统,将复杂知识系统划分为许多功能子系统,从而降低构建知识系统的复杂性,方便知识系统的优化和管理。
There is a great deal of knowledge rules in a complex knowledge system and knowledge is uncertain. To overcome such difficulty, this paper proposed an object-oriented fuzzy Petri nets on the basis of FPN. Through object-oriented technology, designed knowledge system by modular method and divided the complex knowledge system into many functional subsystems. The complexity of constructing knowledge system could be reduced by modularization method in the design phase, hence facilitated the knowledge system management and optimization.
出处
《计算机应用研究》
CSCD
北大核心
2009年第11期4060-4062,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60702053)
