基于Vague双向近似推理的系统决策方法  

System Decision Making Method Based on Vague Bidirectional Approximate Reasoning

作　　者：张倩生[1] 蒋盛益[1] 

机构地区：[1]广东外语外贸大学信息科学技术学院,广州510420

出　　处：《计算机科学》2010年第4期219-223,共5页Computer Science

基　　金：国家自然科学基金项目(60673191);广东省自然科学基金项目(8151042001000005;9151026005000002);广东省哲学社会科学规划项目(09O-19);广东高校优秀青年创新人才培育项目资助

摘　　要：先提出Vague值间的一种新的相似度,并基于有序加权聚类(OWA)算子给出Vague集间的新的加权相似测度,其中的权重是由决策者根据实际决策需求来确定的,具有一定的弹性;另外通过Vague输入事实与Vague决策规则的前件(或后件)之间的相似匹配度,得到一个简单可行的双向近似推理方法,这可为复杂环境下的系统决策(如工业检测和医疗诊断等领域问题)提供有效的支持工具。A similarity degree of vague value was firstly proposed, then a new weighted similarity measure of vague sets was given based on OWA operator, in which the weights were produced according to the requirement of decision maker. Finally,a simple bidirectional vague reasoning method for vague decision system was put forward on the basis of similarity measure between vague fact and the antecedent （or consequent ） portion of vague rule. The presented method is very flexible and feasible, which provides a powerful tool for dealing with vague decision making problems in complex enviroment such as industry inspection and medical diagnosis systems.

关 键 词：VAGUE集 加权相似测度 有序加权聚类(OWA)算子 双向近似推理 Vague决策 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]