关键词: 置信规则, 模糊推理, 专家系统

Abstract:

The traditional fuzzy reasoning ignored the importance of antecedent to the rule,and cannot handle the distributed conclusion.It resolve the ambiguity but ignoring the randomness.The limitations result in system performance degradation.In this paper,a new algorithm based on belief rules is proposed.The algorithm is based on the knowledge expression of belief rules,which are not be enslaved to the continuity of antecedent.It weights the sum of these single antecedent match degrees according to their relative importance degree.The distributed conclusions are combined on the basis of their degree of belief.Finally,the algorithm gets the inference on the grounds of rule calculation.The new algorithm is realized as a new part of FuzzyCLIPS.The algorithm is implemented and certificated in the torpedo evasion system simulation.

Key words: belief rules;fuzzy reasoning;expert system