摘要
由于研究问题的复杂性,专家系统规则库中规则量往往十分庞大,这给规则库的管理和维护带来很大不便。该文针对代数智能辅导解题系统,以规则的层次分类为基础,探讨了规则库建立过程中问题复杂度的降低,冗余规则的减少;同时应用粗集方法对其进行约简,精炼了规则库,提高了系统的效率。
Because of the complexity of research problems ,rule bases on the expert system are usually huge,which brings much inconvenience for rule bases in its management and the maintenance.In this paper,based on the hierarchical classification of rules,it is described how the complexity of problems can be decreased and large redundancy rules can be escaped during the establishing of rule bases on the ITS(Intelligence Tutoring System)on Elementary Algebra.;Simultaneously using rough set,rule bases can be reduced,so its complexity is decreased and the efficiency of system is increased.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第9期115-117,共3页
Computer Engineering and Applications
基金
科技部科技型中小企业创新基金(编号:01c26226111002)
关键词
规则库简化
层次结构
粗糙集
rule bases reduction,hierarchical structure,rough set
