CAJ | 학술논문

粗糙集理论是处理海量不完备信息系统的有力工具，可很好的运用到方剂数据分析中。本文对变精度粗糙集模型进行改进，结合相容关系，提出加权变精度容差关系模型，并将属性重要度和信息熵相结合作为启发式信息，给出基于属性敏感度的约简算法。在此基础上，将方剂各组成药物映射为粗糙集属性，对其进行重要度评价，并结合临床疗效，进行属性约简，探讨方-药-症-证对应关系。实验证明，将本文算法应用到方剂数据分析中，能准确地揭示方剂配伍规律和方证相应关系，指导临床遣方用药。
조조집이론시처리해량불완비신식계통적유력공구，가흔호적운용도방제수거분석중。본문대변정도조조집모형진행개진，결합상용관계，제출가권변정도용차관계모형，병장속성중요도화신식적상결합작위계발식신식，급출기우속성민감도적약간산법。재차기출상，장방제각조성약물영사위조조집속성，대기진행중요도평개，병결합림상료효，진행속성약간，탐토방-약-증-증대응관계。실험증명，장본문산법응용도방제수거분석중，능준학지게시방제배오규률화방증상응관계，지도림상견방용약。
Rough set theory is a powerful tool to deal with incomplete information system, which can be applied to prescription data analysis. In this paper, we suggested an improved rough set model called WVP-T model. The model combined the variable precision model with the tolerance relation model. It can overcome the shortcoming of classical model. Furthermore, attribute importance and entropy of information were combined as heuristic information. Medicine was mapped to rough set attribute in order to value its importance. Then, combined with curative effect, attribute reduction was used to investigate the relationship between prescription and medicine and the relationship between symptom and syndrome. The experimental results showed that algorithm proposed in this paper can be used in prescription data analysis and can accurately reveal the compatibility rules to guide the clinical medication.