Knowledge mining of Traditional Chinese Medicine Constitution classification rules based on Artificial Fish School Algorithm

Human Constitution is a complex multi-factor, and is difficult to get accurate results using TCM (Traditional Chinese Medicine) Constitution classification and criterion. AFSA (Artificial Fish School Algorithm) is an optimization algorithm based on biological models. The coding scheme of the Classification rule is designed by using AFSA, the more accurate Classification Rule Model is constructed by learning the upper and lower boundaries of continuous attributes and putting forward a new fitness function of Classification Rule. The experiment shows that it can get concise and easily understandable rule set by using the mining algorithm based on ASFA, and the accuracy of mining results on rule set is higher.