关键词: 模糊分类, 组合赋权, 统计分析, 中医体质

Abstract: This paper explores the invisible incidence relation between facial skin indexes and traditional Chinese medicine (TCM) constitution to determine constitution types, which can provide new ways for skin diagnosis and treatment. Multi-attribute skin background sample values tested by China Cosmetics Research Center and the constitution classification results determined through constitution questionnaire are selected as model matching data. Firstly, principal component analysis based on Spearman correlation is adopted to reduce the dimension of indexes. Then, fuzzy membership degrees of indexes to constitution are gotten by statistical experiment to realize intelligent classification of non-standardized data. On this basis, this paper proposes a fuzzy optimization combination weighting method fused by subjective and objective information to reduce classification error, and establishes TCM constitution fuzzy optimization classification model of multi-attribute skin indexes. Testing results of new samples show that classification accuracy of model reaches 80%. Thus the fuzzy classification model in this paper has good practicality and validity, which can provide new ideas for further research on fuzzy multi-attribute classification and evaluation of other non-standardized and personalized data.

Key words: fuzzy classification, combination weighting, statistical analysis, Chinese medicine constitution