title: [Establishment of a fuzzy mathematical model for syndrome differentiation of gastric cancer].
abstract: 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.
authors.affiliation: School of Traditional Chinese Medicine, Second Military Medical University, Shanghai 200433, China.
authors.forename: Long
authors.initials: L
authors.lastname: Liu
authors.forename: Ling
authors.initials: L
authors.lastname: Xu
authors.forename: Da-zhi
authors.initials: DZ
authors.lastname: Sun
authors.forename: Pin-kang
authors.initials: PK
authors.lastname: Wei
mesh_terms: D017143:Fuzzy Logic; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D013274:Stomach Neoplasms / Q000175:diagnosis*; D016710:Yin Deficiency