Vague决策表的知识获取  

Knowledge Acquisition in Vague Decision Table

作　　者：江莉[1] 刘三阳[1] 王珏[1] 陆爱国[1] 

机构地区：[1]西安电子科技大学应用数学系,西安710071

出　　处：《计算机科学》2004年第2期111-112,125,共3页Computer Science

基　　金：教育部跨世纪优秀人才基金

摘　　要：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.

关 键 词：知识获取 粗糙集理论 知识推理 Vague决策表 智能信息处理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]