节点文献
粗糙集理论在中医证素辨证研究中的应用
Apply Rough Sets Theory in TCM Syndrome Factor Diagnosis Research
【摘要】 介绍利用最新的机器学习理论———粗糙集,对中医诊断证素推理规则的获取、症状辨证素的量表制定等证素辨证研究的关键问题所做的一些探索性研究工作。首先阐明了粗糙集的基本思想,然后给出了问题解决的方法和步骤,并指出粗糙集理论在证素辨证研究中的应用值得进一步深入。
【Abstract】 This paper introduces some explorative researches,using the latest theory of machine learning,on such syndrome factor diagnosis research problems as the acquisition of consequence rules among TCM diagnosis factors and the establishment of syndrome factors measurement rules ect.It begins with illustrating the basic concept of rough sets,and then provides the methodology and procedures for problem solving.The paper also indicates that it is worthwhile to further study the application of rough sets theory in syndrome factors diagnosis research.
【关键词】 证素;
辨证体系;
粗糙集;
中医诊断;
【Key words】 key pattern elements; syndrome differentiating system; RoughSets; TCM diagnosis;
【Key words】 key pattern elements; syndrome differentiating system; RoughSets; TCM diagnosis;
【基金】 国家973科技计划项目课题(2003CB517101)
- 【文献出处】 中国中医基础医学杂志 ,Chinese Journal of Basic Medicine in Traditional Chinese Medicine , 编辑部邮箱 ,2006年02期
- 【分类号】R241
- 【被引频次】71
- 【下载频次】635