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本文提出一种以实例推理为主、规则推理为辅的刀具智能选配方法,采用粗糙集理论对刀具选配实例库进行优化,对刀具选配历史方案进行约简,剔除冗余数据信息,提高检索刀具选配历史方案的效率,使用规则推理作为实例推理的补充,增强刀具智能选配的实用性。
In this paper, we propose a tool intelligent matching method which is mainly based on case-based reasoning and supplemented by rules reasoning. The rough set theory is used to optimize the tool matching instance library, the tool matching option is reduced, the redundant data information is eliminated, Improve the efficiency of retrieving tool matching history programs, use rule-based reasoning as a complement to case-based reasoning, and enhance the utility of tool-wise matching.