[Establishment of a fuzzy mathematical model for syndrome differentiation of gastric cancer].
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 stasis accumulating 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%.


CONCLUSIONS
The model offers a solution for objective research of syndrome differentiation, and has the clinical value.
Liu
Long
L
School of Traditional Chinese Medicine, Second Military Medical University, Shanghai 200433, China.
Xu
Ling
L
Sun
Da-zhi
DZ
Wei
Pin-kang
PK
D017143:Fuzzy Logic; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D013274:Stomach Neoplasms / Q000175:diagnosis*; D016710:Yin Deficiency