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对人体缺氧程度进行综合性定量评定是个有待解决的重要问题,本文试图应用模糊集理论对此加以探讨。在机体缺氧代偿理论的基础上,引入缺氧代偿率(Z)的概念,其中着重考虑了各循环指标在缺氧时所起作用的大小,并根据指标变化与症状分类符合的程度确定其值。按照模糊集理论再把被试者的不同代偿能力看作不同的模糊集合,并以 Z 为论域,分別构造出代偿好、代偿差和代偿一般三个模糊子集的隶属函数。依照模糊集中的隶属原则,可确定出给定 Z 值所代表的子集合,从而对不同被试者的代偿能力以及同一被试者不同缺氧时刻的代偿能力作出评价。在本文中代偿能力被分为五个等级:代偿最佳、代偿好、代偿一般、代偿差和代偿障碍。按此等级对39名被试者的缺氧代偿能力作出评价,取得了与实际非常一致的结果。
The comprehensive quantitative assessment of the degree of human hypoxia is an important issue to be solved. This paper attempts to apply the fuzzy set theory to explore this. On the basis of hypoxia theory, the concept of hypoxemia compensation rate (Z) was introduced, and the importance of each cycle index in hypoxia was considered. According to the degree of coincidence of index changes and symptom classification Determine its value. According to the theory of fuzzy sets, the subjects’ different compensatory ability is regarded as different fuzzy sets, and the membership functions of three fuzzy subsets of compensated, compensated and compensated are constructed respectively using Z as the discourse domain . According to the membership principle of fuzzy set, the sub-set represented by a given Z-value can be determined, so as to evaluate the compensability of different subjects and the compensatory ability of different subjects at different hypoxia times. In this paper, the ability to pay is divided into five levels: the best compensation, good compensation, compensation in general, compensation for poor and compensatory barriers. According to this level, 39 subjects were evaluated for hypoxia-compensatory ability and the results were very consistent with the actual results.