Title :
A novel grey model for urban migrant workers´ number predication in China
Author :
Ying-jie Zhou ; Bo Zeng
Author_Institution :
Coll. of Econ. & Manage., Xuchang Univ., Xuchang, China
Abstract :
It is very important to forecast the number of urban migrant workers in a city, but various traditional prediction models cannot tackle such situation effectively. To solve this problem, this paper builds a novel grey prediction model based on kernel and information field of interval grey number. Then this proposed model is applied to establish the prediction model of the number of urban migrant worker in Chongqing, China. Finally, this model is employed to forecast the number of urban migrant workers in Chongqing, 2010, and obtain a satisfactory simulation precision. Hence, the research model proposed in this paper has an important significance in both practical applications and theoretical study.
Keywords :
grey systems; social sciences; China; grey prediction model; interval grey number; urban migrant worker; worker number predication; Cities and towns; Predictive models; Grey prediction model; Interval grey number; Kernel and information field; Prediction of the number of urban migrant workers;
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
DOI :
10.1109/GSIS.2011.6043969
