应用模糊数学探讨心系病位、病性特征与基础证的相关性

On the Correlation Between the Features of Disease Location and Nature and the Basic Syndromes of the Heart System by Fuzzy Mathematics

  • 摘要: 运用模糊数学方法探讨心系病位、病性特征与基础证的相关性。根据五脏系统辨证体系,结合模糊识别中的“择近原则”,利用MATLAB建立心系基础证模糊识别模型,对1 741份心系病案资料进行检验,并分析模型中蕴含的隶属关系。心系病位、病性特征与基础证存在模糊映射关系;大部分隶属关系能够较好的反映心系基础证病位、病性特点,个别隶属关系还提示兼夹病位及病性。利用模糊数学方法能较好的模拟心系病位、病性特征与基础证的模糊映射关系,该思路可应用于五脏系统辨证体系中,为病证规范化研究提供参考。

     

    Abstract: To discuss the correlation between the features of disease location and nature and the basic syndromes of the heart system by fuzzy mathematics. According to five-zang syndrome differentiation system together with "principle of proximity" in fuzzy recognition, MATLAB was used to set up the fuzzy recognition model of the basic syndrome of the heart system to test information about 1741 cases and analyze the correlation in model. The features of disease location and nature and the basic syndrome of the heart system existed fuzzy mapping relation. Most of the correlation can well reflected the features of disease location and nature of the heart system while individual correlation suggested features of mingling disease location and nature. Fuzzy mapping relation between the features of disease location and nature and the basic syndrome of the heart system is imitated effectively by fuzzy mathematics, which can be applied to five-zang syndrome differentiation system and provide a reference for the study of diseases syndrome.

     

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