一种胃癌模糊辨证模型的构建

Establishment of a fuzzy mathematical model for syndrome differentiation of gastric cancer

目的:探讨一种构建胃癌模糊辨证模型的方法。方法:对收集的769例胃癌病例进行分析,确立论域U、证型集合V和症状-证型模糊关系,建立证型模糊集合,采用模糊集合贴近度的运算和最大隶属原则,构建胃癌的模糊辨证模型。结果:该模型对6种证型的符合率分别为肝胃不和型65.00%、胃热伤阴型72.22%、脾胃虚寒型70.00%、瘀毒内阻型57.14%、痰湿凝结型53.33%和气血双亏型72.22%,总体符合率为65.71%。结论:该辨证模型为辨证的客观化研究提供了一个思路,有一定的临床价值。

Objective： To probe into a method for establishing the fuzzy mathematical model for syndrome differentiation of gastric cancer. Methods： According to the analysis of 769 cases of gastric cancer, the U-domain, syndrome type set V and the fuzzy relation of symptom and syndrome type were established. The fuzzy set of syndrome type was set up too. The fuzzy model for syndrome differentiation of gastric cancer was constructed by adopting close degree fuzzy set and the biggest attaching principle. Results： The actual coincidence rate in incoordination between liver and stomach was 65. 00%; in yin deficiency due to gastric heat was 72.22% ; in deficiency-cold of spleen and stomach was 70.00% ; in blood stasisaccumulating with toxin was 57. 14%; in phlegm accumulating with dampness was 53.33%; and in exhaustion of both qi and blood was 72.22%. The overall coincidence rate was 65.71%. Conclusion： The model offers a solution for objective research of syndrome differentiation, and has the clinical value.