title: [Fuzzing pattern recognition study on Raman spectrum of tumor peripheral tissue].
abstract: On the basis of some theories about fuzzing pattern recognition, the present article studied the data preprocessing of the Raman spectrum of tumor peripheral tissue, and feature extraction and selection. According to these features the authors improved the leaning towards the bigger membership function of trapezoidal distribution. The authors built the membership function of Raman spectrum of tumor peripheral tissue which belongs to malignant tumor on the basis of 40 specimens, and designed the classifier. The test of other 40 specimens showed that the discrimination of malignant tumor is 82.4%, while that of beginning tumor is 73.9%.
authors.affiliation: School of Physical Engineering, Zhengzhou University, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Luo
authors.forename: Yuan-li
authors.initials: YL
authors.lastname: Zhao
authors.forename: Xiang-hong
authors.initials: XH
authors.lastname: Ge
authors.forename: Xiao-dong
authors.initials: XD
authors.lastname: Zhang
authors.forename: Zhi-fang
authors.initials: ZF
authors.lastname: Hao
authors.forename: Jing
authors.initials: J
authors.lastname: Lü
mesh_terms: D006801:Humans; D009369:Neoplasms / Q000737:chemistry* / Q000473:pathology*; D013059:Spectrum Analysis, Raman / Q000379:methods*