Reasoning Model With Uncertainty Based On Extenics And Application

As an original subject, Extenics is under developing recently, which addresses the possibility of extension, the creative regulation and method with formalized model. It employees extenics in reasoning with uncertainty.By using extension element in knowledge representation and reasoning model with uncertainty, a ameliorative reasoning model with uncertainty is proposed, named as extension reasoning model with uncertainty.The knowledge representation model acquired is easy to operate, has capability to represent various kinds of uncertain information. In this ameliorative model, uncertain information has an effect on accuracy of reasoning conclusion. As a result, reliability of reasoning conclusion is improved. Relative function is used to measure fuzzy matching degree between precondition of rule and facts. Based on computing of fuzzy matching degree, a conflict-resolution policy is designed to enhance reasoning efficiency. In terms of this model, a novel extension reasoning machine with uncertainty is designed. Based on this reasoning machine, a fault diagnosis expert system of UA5000 is realized.