在基于规则的知识系统中,知识的不确定性通常是采用如下的规则形式来表示的: IF antecedent THEN consequent WITH confidence x.如果要启动和执行某个规则,只需在当前的数据库中有与该规则的前件相匹配的事实即可触发该规则,从而使不确定性得以在推理网络中传播。这种传统的产生式规则有如下的两个主要缺点: In rule-based knowledge systems, the uncertainty of knowledge is usually expressed in terms of the following rules: IF antecedent THEN consequent with confidence x. If you want to start and execute a rule, you only need to have in the current database This rule can be triggered by the fact that the antecedent of the rule matches, allowing uncertainty to propagate in the inference network. The traditional rules of production have the following two major drawbacks: