Affiliation:
1. School of Economics, Shandong University of Finance and Economics, Jinan, Shandong 250014, China
Abstract
In order to analyze the intergenerational income mobility of urban and rural residents, this paper uses big data technology to study the intergenerational income mobility of urban and rural residents in China, constructs a corresponding model, and presents an interval type-2 fuzzy model based on the distributed integration method. The model constructs an initial interval type-2 fuzzy model through a distributed integration strategy and provides an optimization method for the parameters of the interval type-2 fuzzy model based on the least squares method, which is used to ensure the prediction performance of the model. The experimental study verifies that the big data technology can play an important role in the research on the intergenerational income of urban and rural residents in China.
Funder
Chinese National Funding of Social Sciences
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
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