Abstract
Traditional Chinese Medicine (TCM) has a history of application in China for thousands of years. The essence of TCM diagnosis and treatment of diseases is to judge the cause of the disease according to the patient’s symptoms combination and TCM theory, and then give the prescription according to the cause. Doctors often give different prescriptions because of their different experience and understandings of the theory of Chinese medicine, which seriously hinders the standardization and industrialization of TCM. The clinical practice of TCM shows that an effective clinical prescription has its origin, and the ultimate source is the ancient classic prescription. According to this point of view, based on the fuzzy theory, the paper proposes a homology algorithm for TCM prescriptions and has been implemented on the python platform. The algorithm is able to find the classic formulas that are most closely related to the clinical formula based on the membership function. Because research on classical prescriptions is the most adequate, the results of this algorithm can help doctors to understand the mechanism of the clinic formula.
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