| In order to solve a difficult question-pig disease diagnosis which is subsistent in the pigindustry of our country, the means which can be used to guide developing pig disease diagnosis expert system from the point of technical view was brought forward in the dissertation After analyzing theoretically conceptions, the diagnostic knowledge and the diagnosis reasoning process, a double deck positive and negative network model including disease and symptom factors was constructed in the article In the symptom-disease deck, on the one hand, aim at the time characteristic of symptom, the symptom is divided into two stages: the prophase symptom and the anaphase symptom Furthermore, every symptom is endowed probability by the process of advance disposal On the other hand, the knowledge base based on the basic probability assignment and the knowledge base based on posterior diagnostic probability were set up, and the D/S theory was adopted in uncertainty reasoning model of pig disease diagnosis In the disease-symptom deck, according to the relation between the set users selected and the standard set, following the same, different and reverse principle, the diagnosis index which is based on the correlative degree and the fuzzy degree was formed with the way of Set Pair Analysis ,The system has over 325 symptoms, 54 pig diseases and 316 pictures and graphics for different types of diseases and symptoms It can diagnose 127 types of common disease sets of pigs, so it can meet the demand of users basically This article relies on Chinese National Funded High Science and Technology Research Project (863 project) under Grand No.2003AA209050... |
