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	An Optimal Parking Space Search Model Based on Fuzzy Multiple Attribute Decision Making
	Shouyuan Yu; Baopu Li; Qi Zhang; Max Q.-H Meng
	2012
会议名称	Intelligent Control and Automation (WCICA), 2012 10th World Congress on
会议地点	中国
英文摘要	This paper proposes a new method based on mul-tiple attribute decision making to search for the optimal parking space in a parking lot. The advantages and limits of different kinds of property weights are investigated in this paper. By im-proving the limits of subjective weight and combining subjective weight with objective weight, we get an integrated weight. Using this hybrid weight, we introduce how to apply multiple attribute decision making to search for the optimal parking space. Expe-riments show that this method has a satisfying performance and can find the real-time optimal parking space. The proposed me-thod can be applied to city parking guidance and information system. Index Terms – optimal parking space, multiple attribute deci-sion making, consistency adjustment, combined weight.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3870]
专题	深圳先进技术研究院_集成所
作者单位	2012
推荐引用方式 GB/T 7714	Shouyuan Yu,Baopu Li,Qi Zhang,et al. An Optimal Parking Space Search Model Based on Fuzzy Multiple Attribute Decision Making[C]. 见:Intelligent Control and Automation (WCICA), 2012 10th World Congress on. 中国.

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