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驾驶员道路安全感受模糊评判的算法改进
引用本文:刘开第,庞彦军,郝继梅.驾驶员道路安全感受模糊评判的算法改进[J].公路交通科技,2009,26(4).
作者姓名:刘开第  庞彦军  郝继梅
作者单位:河北工程大学,不确定信息研究所,河北,邯郸,056038
基金项目:国家自然科学基金,河北省自然科学基金 
摘    要:根据驾驶员道路安全感受模糊评价矩阵,计算安全感受隶属度时要从底层指标隶属度出发经过一系列的隶属度转换.用基于熵的数据挖掘方法,通过挖掘隐藏在指标隶属度中关于目标分类的知识信息定义区分权;用区分权清除指标隶属度中对目标分类不起作用的冗余数值并提取有效值;有效值经指标重要性权重转化为可比值,可比值生成可比和;用可比和计算目标隶属度.由此建立实现隶属度转换的一般算法,并用于驾驶员道路安全感受综合评判.

关 键 词:交通工程  道路条件  安全感受  隶属度转换  区分权  可比值

Improvement of Algorithm of Fuzzy Evaluation of Driver's Road Safety Perception
LIU Kaidi,PANG Yanjun,HAO Jimei.Improvement of Algorithm of Fuzzy Evaluation of Driver's Road Safety Perception[J].Journal of Highway and Transportation Research and Development,2009,26(4).
Authors:LIU Kaidi  PANG Yanjun  HAO Jimei
Institution:Research Institute of Uncertainty Information;Hebei University of Engineering;Handan Hebei 056038;China
Abstract:Based on fuzzy evaluation matrices of driver's road safety perception,calculation of the membership of safety perception has to pass though a series of transformation from the bottom index membership.According to excavating the information of the object classification that hides in index memberships,the divisional right was defined by using data excavation method based on entropy.The redundant index memberships that were useless for classification were deleted by using divisional weight and effective values...
Keywords:traffic engineering  road condition  safety perception  membership transformation  divisional right  comparative value  
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