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Issue title: Applied Mathematics Related to Nonlinear Problems
Guest editors: Juan L.G. Guirao and Wei Gao
Article type: Research Article
Authors: Zhu, Dingjua; * | Lian, Zhaotongb
Affiliations: [a] School of Computer Science, South China Normal University, Guangzhou, China | [b] Facaulty of Business Administration, University of Macau, Macau SAR, China
Correspondence: [*] Corresponding author. Dingju Zhu, School of Computer Science, South China Normal University, Guangzhou 510631, China. E-mail: zhudj@scnu.edu.cn.
Abstract: This paper proposed parking robot based on fuzzy reasoning and parking big data. The parking difficulty membership degree was computed on the basis of the time spent for looking for parking space at parking lot. The free membership degree at the current time corresponding to the parking difficulty membership degree of the parking lot can be reasoned out based on the parking difficulty membership degree and the free membership degree of the parking lot at each preset time point. The parking robot will reduce the cost needed to predict the free membership degree of the parking lot.
Keywords: Fuzzy reasoning, parking lot, free membership degree, big data
DOI: 10.3233/JIFS-169360
Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 3087-3094, 2017
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