基于粗糙集与证据理论的决策规则合成方法

如何根据规则进行决策是决策规则应用必须解决的核心问题之一。针对该问题,提出了一种决策规则的合成方法,为根据多条规则进行决策提供了崭新的思路。首先,获取规则,计算支持度、信度等信息;然后,将规则信度转换为可信度分配,综合属性重要性和规则支持度两方面因素,计算可信度分配的权重;最后,运用证据理论对可信度分配进行合成。实验表明,规则合成方法能够对决策规则,尤其是冲突规则进行有效合成,得出可靠的决策。

Rough Sets and Evidence Theory-based Method to Combine Decision Rules

A combination method to make decision using decision rules was proposed.The method which took advantage of the information derived from the process of rule extraction gave a new idea to make decision according to decision rules.First,rule extraction methods were employed to obtain decision rules and their support and confidence degrees.Second,the basic probability assignments were calculated according to the confidence degrees of rules.Then,the attribute significances and support degrees of rules were considered to compute the evidence weights.Last,the combination method of evidence theory was used to obtain the aggregated decision.The experiment shows that the combination method performs well to combine decision rules,especially conflicting rules.