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基于S-粗集理论的交通控制系统研究

Study of Traffic Control Systems Based on Singular Rough Sets
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摘要 利用粗集理论的知识推理,通过对交警指挥交通的实际经验所得决策表的约简,归纳出一系列交通控制规则,提出了一种基于S-粗集理论的交通控制模糊建模方法,实现了城市交通的粗模糊控制. Used knowledge reasoning in rough sets theory, a new method for modelling traffic fuzzy control systems is improved by reducing the decision table which comes from the policemen's experience of actual conduct traffic and a series of control rule is induced, the rough fuzzy control for the urban traffic control is releyed.
作者 王宁 郭志林
出处 《邵阳学院学报(自然科学版)》 2009年第4期1-5,共5页 Journal of Shaoyang University:Natural Science Edition
基金 河南省自然科学基金项目(092102210152) 河南省政府政策研究招标课题(B373)
关键词 S-粗集 交通控制 模糊规则 属性约简 singular rough sets traffic control fuzzy rule attribute reduction
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