摘要
目前指挥决策支持系统中的知识系统大多只能表示清晰信息,当给定对象、属性及属性值,便能完全肯定对象是否具有这个属性(值)。但实际情况并不是这样,对象和属性(值)关系常常是不确定的。本文提出FPS模型解决这种不确定性,并在此基础上,为概念归纳推理定义了模糊粗糙集,为对象的排序定义了相似性测度、距离测度和熵测度,用模糊集方法定义了概念的上下近似集,并得出了决策规则。
The FPS model is put forward to remedy the problem in traditional knowledge representation. Based on this, a fuzzy rough set is defined for concept inductive inference, three measures, i.e. similarity measure, distance measure and entropy measure are defined for the object rank, then upper and lower approximations of concept are defined by using this fuzzy set method , and decision rules are achieved.
出处
《空军工程大学学报（自然科学版）》
CSCD
2003年第6期44-47,共4页
Journal of Air Force Engineering University(Natural Science Edition)
基金
国家"863"计划基金资助项目(306-04-02-01)
关键词
决策支持
知识表示
模糊PS模型
上近似集
下近似集
决策规则
decision support
knowledge representation
FPS model
upper approximation
lower approximation
decision rules
