Vague决策表的知识获取

Knowledge Acquisition in Vague Decision Table

本文提出一种Vague决策表的知识获取方法。首先根据样本对于决策者需求的适合程度构造Vague值之间的一个序关系,将Vague决策表转化为二元决策表,然后利用粗糙集理论进行分析并推理出最优规则,最后再将二元决策表的决策规则转化为Vague决策表的有序规则。实验分析表明了该方法的有效性。

A new approach rough set-based for ordering rules acquisition in vague decision table is presented. An order relation among vague values is constructed according to the degree of suitability that an alternative satisfies the decision-maker's requirement, on the basis of which we transform the vague decision table into the binary decision table. Then optimal rules can be induced using rough set theory. Finally .rules induced in binary decision table are transformed into ordering rules in vague decision table. Simulation results show that the method is effective.