基于概率覆盖决策粗糙集模型的中医菜谱分析  

Analysis of Chinese Medicine Recipe Based on Probabilistic Coverage Decision Rough Set Model

作　　者：雷雪梅[1] 谢依彤 LEI Xue-Mei, XIE Yi-Tong(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, Chin)

机构地区：[1]北京科技大学计算机与通信工程学院,北京100083

出　　处：《计算机系统应用》2018年第4期117-123,共7页Computer Systems & Applications

摘　　要：针对营养决策表规则提取中规则矛盾多、覆盖样例冗余多,导致有效规则遗漏的问题,提出概率覆盖决策粗糙集模型.首先,对决策粗糙集相关理论进行简要介绍,给出对应的属性约简和值约简理论和算法.然后,在决策粗糙集基础上,提出概率覆盖模型,根据值约简需求提出一、二、三度覆盖矩阵,以解决规则矛盾和冗余问题.最后,通过中医菜谱数据提取营养学规则实验,证明所提模型可有效解决规则矛盾问题,相比其他常用规则提取模型,概率覆盖模型所得规则约简力度较高,矛盾个数较少.A probabilistic coverage decision-theoretic rough set （PCDTRS） model is proposed in this study to deal with the two main issues in rule acquisition from decision table, i.e., contradiction of extracted rules and redundancy of override sample. Firstly, the basic theories of the decision-theoretic rough set （DTRS） model including the attribute and value reduction algorithms are presented. Subsequently, the probabilistic coverage model is raised based on the DTRS model, and three levels covered matrixes meeting the needs of value reduction are proposed to resolve the aforementioned problems. Finally, the results of a series of experiments on Chinese cookbook nutrition illustrate the feasibility and effectiveness of the PCDTRS model. Compared with other models, the reduction strength and the number of conflicting rules using the PCDTRS model are higher and fewer respectively.

关 键 词：中医营养学 决策粗糙集 覆盖关系 值约简 规则提取 

分 类 号：R247.1[医药卫生—中医临床基础] TP18[医药卫生—中医学]