Competition quota allocation based on analytic hierarchy process and data processing and prediction combined with clustering method

This paper, taking a match of the province of north China as an example, based on the schools for the past ten years and awards for qualitative and quantitative data analysis and processing. Then through the model to predict the next year, and on the basis of the present situation and awards by the normal given the competition for the school places allocation scheme, in order to improve the quality and efficiency. This paper presents a method and process of big data analysis and processing by using SPSS and MATLAB and other mathematical software based on actual cases. The prediction results are reliable and can be used for reference. The innovation of this paper is that the weight ratio of analytic hierarchy process is used as the reference for quota allocation. Its advantage is that it can make the allocation result more flexible and easy to be controlled artificially. In addition, the paper adopts arithmetic average method, geometric average method and eigenvalue method respectively in the weight calculation, and then takes the average weight of the three methods to make the result more robust.