模糊聚类分析在收涩类中药研究中的应用

Application of Fuzzy Cluster Analysis in the Study of Astringent Herbs

目的:探讨收涩类中药之间的相互关系,为该类中药的复方组方研究提供新的思路。方法:将中药药性进行量化处理,然后应用模糊聚类方法进行分析。结果:鸡冠花与其它收涩药物的药性差异较大;敛肺涩肠药中五倍子、罂粟壳和诃子;固精缩尿药中的山茱萸与覆盆子、桑螵蛸和海螵蛸、莲子与芡实在药性上具有较高的等价性。结论:运用模糊聚类分析方法将有类似功效的药物归类,有利于讨论收涩类中药之间的相互关系,对于深入研究该类中药的性质和临床用药都是有意义的。

Objective： To discuss the relationship in herbal medicines which are used as astringent herbs so as to provide a new for the studies on the rules of these herbs to form the prescription in Chinese herb medicines. Methods： The drug properties were transformed into corresponding numerical value through Quantita- tive disposal and the analysis is carried out by fuzzy clustering method. Results： Jiguanhu （Cockscomb） shows a great difference compared to other astringent herbs. The Chinese herbs with astringing lung and astringing intestine, such as WubeiZi （galla）, Yingsuqiao （poppy） and Hezi （myrobalan） and those with securing essence and＇ arresting polyuria such as Shanzhuyu （fructus corui） and Fupengzi （Rubus idaeus L.）, Sanpiaoqiao （ootheca mantidis） and Haipiaoqiao （ossa sepia）, Lianzi （semen nelumbinis） and Qianshi （Gordon Euryale） show a better clinical result comparatively through their property of medication. Conclusion： The Chinese herbs which have similar effect can be classified by fuzzy clustering and will beneficial to discuss the relationship in several of astringent therapy herbs. All this may be of some positive significance for the further studies of both the nature and the clinical application of these herb medicines.