Reasoning research on vague information based on case-based reasoning and fuzzy-based reasoning in traditional Chinese medicine diagnosis

摘要

There is a lot of vague information about TCM (Traditional Chinese Medicine) diagnosis difficult to understand through computer. Reasoning process, by coalescing of the CBR (Case-based Reasoning) and FBR (Fuzz-based Reasoning) in artificial intelligence, makes up for shortcomings of their alone, can achieve a good understanding of information in TCM diagnosis. As for the new diagnostic features, the reasoning algorithm firstly finds them in the existing case base, if fails, fuzzy reasoning mechanism will start automatically, then ultimately the credible results will be presented to the user. Facts have shown that the algorithm has good reasoning ability and can get more accurate diagnoses.