摘要
在分析驾驶员选择车位的主要考虑因素的基础上,利用Dijkstra算法确定行驶距离、利用欧几里得距离确定步行距离以及利用三角模糊数期望值的方法确定停车位的环境信息值,从而确定决策属性矩阵,最终利用基于灰熵关联度多属性决策的方法进行了停车场路径的寻优.
By analyzing the drivers＇ main consideration about how to choose a parking space, this papei： was committed to path aptimization of parking lot by the method of grey entropy re- lation grade MADM （Multiple Attribute Decision Making）. The decision attribute matrix was identified by driving distance which was deduced through Dijkstra algorithm, walking dis- tance which was deduced through Euclidean distance and parking space environment value which was deduced through the entropy of triangular fuzzy number.
出处
《哈尔滨商业大学学报（自然科学版）》
CAS
2015年第6期732-734,740,共4页
Journal of Harbin University of Commerce：Natural Sciences Edition
基金
黑龙江省教育厅科学技术研究项目(12531162)
黑龙江省智能教育与信息工程重点实验室开放基金项目(SEIE2014-3)
