Uncertainty Reasoning Problem Research Based on the Expert System of Production Plan

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Abstract:

Uncertainty problem is the key problem need to be faced and solved in expert system. During the uncertainty reasoning process for expert system, this paper proposed a new matching degree algorithm of first component of rule to solve the uncertainty problem when reasoning. The adoption of the algorithm made the selection process for the best matching point become more accord with the nature selection and has better adaptivity. Adopting this algorithm could improve the accuracy when the first component of rule selecting a conclusion. By taking a production plan of a factory for example, this paper proved the selected first component of rules for following evidences which supporting conclusion has a good effect on credibility. And the expert system which using the new algorithm has a great improvement on decision-making function.

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490-494

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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