Prediction of Marine Economy based on Grey Relational Degree
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Yimin Zhen, Jiaxin Zhou and Zuoliang Lv
The prediction of the Marine economy has important significance for the development of Marine industry, and a convenient prediction method is necessary for planning to marine economy. This article calculated the grey relational degree between Marine economy and Marine science and technology by the data for the year of 2006-2016, and finds that Marine economy and Marine science and technology are closely related, and we took the main influencing factors as the independent variables and the gross ocean product as the dependent variables, the Marine economy is predicted according to the linear regression equation. The prediction results of this article showed that the average relative error of the test results of the prediction equation filtered by indicators is reduced to less than 10%, and the prediction results after indictors filtering are better than the results of indictors are unfiltered.
Grey relational degree; Combination prediction; Marine economy; marine science and technology