document: Diagnostic expert system using non-monotonic reasoning The objective of this work is to develop an expert system for cucumber disorder diagnosis using non-monotonic reasoning to handle the situation when the system can not reach a conclusion . One reason for this situation is when the information is incomplete . Another reason is when the domain knowledge itself is incomplete . Another reason is when the information is inconsistent . This method maintains the truth of the system in case of changing a piece of information . The proposed method uses two types of non-monotonic reasoning namely : default reasoning and reasoning in the presence of inconsistent information to achieve its goal
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