CAJ | 학술논문

实例推理( CBR)与规则推理( RBR)是知识工程中两类重要的基于知识的问题求解和学习方法，结合这两种方法并将其用于刀具的自动选择，有利于机械加工的智能化发展。提出一种将实例推理与规则推理相集成的混合推理方法，首先运用规则推理得出刀具类型及刀具材质，并将其作为初始条件检索出候选实例集，再以实例推理得出与目标实例最相似加工实例。此外，针对传统的基于距离函数的相似度算法的复杂性及不确定性等缺点，基于模糊数学理论应用隶属函数求解实例间属性的相似度。同时考虑了属性权重问题，以层次分析( AHP)法来确定各个属性相对应的权重。最后，以电梯业中磁铁安装板的加工为例，验证了该方法的可行性。
실례추리( CBR)여규칙추리( RBR)시지식공정중량류중요적기우지식적문제구해화학습방법，결합저량충방법병장기용우도구적자동선택，유리우궤계가공적지능화발전。제출일충장실례추리여규칙추리상집성적혼합추리방법，수선운용규칙추리득출도구류형급도구재질，병장기작위초시조건검색출후선실례집，재이실례추리득출여목표실례최상사가공실례。차외，침대전통적기우거리함수적상사도산법적복잡성급불학정성등결점，기우모호수학이론응용대속함수구해실례간속성적상사도。동시고필료속성권중문제，이층차분석( AHP)법래학정각개속성상대응적권중。최후，이전제업중자철안장판적가공위례，험증료해방법적가행성。
Case-Based Reasoning ( CBR) and Rule-Based Reasoning ( RBR) are two important knowledge-based problems’ sol-ving and learning methods in knowledge engineering,and the combination of the two methods for automatic selection of cut tools is benefit to the intelligence development for mechanical processing. proposed a hybrid reasoning that integrated by rule-based rea-soning and case-Based reasoning. first,use rule-based reasoning select tool types and the cutting tool material,and use it as the initial conditions to retrieve and get the instance candidate,and then obtain the instance that most similar to the target problem. Besides,in view of the complexity and uncertainty of the shortcomings of traditional similarity algorithm based on distance func-tion,applied subordinate function that based on the theory of fuzzy mathematics to solving the similarity between instances attrib-ute. And considered the problem of attribute weights,by the method of AHP to determine the corresponding weights for each at-tribute. Weights. Finally,applied this method in the elevator industry’ s magnet mounting plate processing,verified the feasibility of this method.