Uncertain knowledge representation and inferential strategy in the expert system of swine disease diagnosis

The objective of swine disease diagnosis expert system was aimed at the usage of swine farmers in Thailand for disease diagnosis using symptoms of swine that swine farmers found for diagnosis. Our expert system is useful to swine farmers for the care of ill swine health and decreases the spread of disease in the farm that this leads to swine farmers disadvantage and overall economy. In this research we have established the novel model of uncertain knowledge representation and inference strategy using determination of significant weight of each symptom to disease diagnosis, which is defined by the veterinarian. In each diagnosis, the user must also specify symptom certainty factor, the system provides the pictures and description of symptoms, so that the user can specify the certainty factor correctly. Therefore, our model causes an accurate diagnosis of the expert system of swine disease diagnosis. From the results of diagnosis by our expert system, we found that it could diagnose accurately for 92%, which is satisfied.