Abstract
This paper studies a knowledge-based system implementation method to realize the preliminary diagnosis of nasal allergy. Constructing the rule base and the case base, respectively based on the knowledge of doctor and the questionnaire of patient at first, and putting the information of the patient for diagnosis into the two bases and scanning the bases, the system can give the suitable diagnosis. The rule-base reasoning and learning (RBRL) algorithm are performed by a neural network at first, and then the case base reasoning (CBR) algorithm is also performed by using fuzzy method. On the other hand, since algorithm of the neural networks can be convertible to that of fuzzy method, it is reasonable to combine the merits of both paradigms, that is, to combine the learning ability of neural network and the easy implementation of fuzzy logic.
