An expert system for fish disease tele-diagnosis based on 3I fuzzy reasoning mechanism

Fuzzy reasoning in expert systems is a recurrent issue on which little research has been done or reported. This paper proposes a fuzzy reasoning model of characteristic expansion based on 3I method which can be applied to describe and process the fuzziness of diagnosed symptoms of fish diseases. This strategy to code the model of fuzzy reasoning in the knowledge base rather than the inference engine largely increases the flexibility of reasoning. This is also the first research that combines an expert system and the fuzzy technology for fish disease diagnosis. An expert system for fish disease tele-diagnosis has been implemented using XF6.2, an expert system development tool.