RESUMEN
Objective To comprehensively evaluate the Aucklandiae Radix quality by combining gray correlation method and FCM (Fuzzy C-Means) algorithm. Methods HPLC method was used to determine the content of costunolide and dehydrocostus, and the content of volatile oil was determined by steam distillation. The gray correlation method was used to sort the quality of Chinese herbal medicines, and the FCM algorithm was used to classify the quality of medicines. Results The average correlation degree of Aucklandiae Radix from different producing areas was: Yunnan > Guangdong > Guangxi > Hunan> Sichuan > Bozhou > Beijing > Hebei. FCM algorithm divided samples into three categories: Yunnan, Guangdong and Guangxi were in the high quality group; Hunan and Sichuan were in the medium quality group; Beijing, Bozhou, and Hebei were in the low quality group. Conclusion Constructing an integrated pattern recognition model system for evaluating the quality of Chinese medicinal materials, and the fuzzy clustering algorithm was adopted for the first time in Aucklandiae Radix. The purpose of this study is to form a kind of research method of Aucklandiae Radix quality evaluation and provide a way to guide and apply the new methods of modern pattern recognition and data mining in the application of traditional Chinese medicine quality evaluation.