动态模糊决策树学习算法研究  

Research of Algorithm of Dynamic Fuzzy Decision Tree

作　　者：蔡晨[1] 李凡长[1] 

机构地区：[1]苏州大学计算机科学与技术学院,江苏苏州215006

出　　处：《计算机技术与发展》2007年第7期73-76,共4页Computer Technology and Development

摘　　要：针对自动控制领域中普遍存在的动态模糊信息,提出了基于DFS(动态模糊集)建模的动态模糊决策树算法,并给出了对包含非动态模糊属性、缺少属性值的输入样例的匹配算法,很好地解决了模糊控制系统所不能解决的动态性问题。According to large numbers of dynamic fuzzy systems exist in the fields of automatic control, design the arithmetic of dynamic fuzzy decision tree in this paper, moreover, give the method how to deal with those input examples which include non dynamic fuzzy attributes or lack some attributes. The theory paper can solve the dynamic problems that the fuzzy control system can not solve.

关 键 词：动态模糊集 动态模糊决策树 动态模糊规则 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]