earticle

영어

For the problem that the use effect of food processing information system is poor due to absence of knowledge acquisition measures and knowledge self-updating function, a knowledge acquisition approach based on rough set is put forward. First, the approach establishes a set of predicted samples for the relationship between food processing parameters and product quality; then uses the discretization of continuous attribute, attribute reduction and rule extraction algorithm of rough set to acquire automatically predicted knowledge from a large number of predicted sample sets, and then saves the predicted knowledge in the knowledge base of expert system; finally, realizes the extraction of knowledge of food processing process based on the inference engine, which greatly enhances the effectiveness and practicality of the acquired knowledge in online aided decision system of the food processing quality and safety.