Data Processing and Modelling with Information Technology in Choosing College Best Trainer

Pei Lin Li · Advanced materials research · 2014

Choosing a good college trainer needs to consider various factors. In the paper, I take advantage of relevant data of the college trainers, and then establish an effective model with information technology to choose the best college trainer. First I collect the data of college trainers of football using information technology. Based on the two characteristic indexes of excellent college trainers, such as the basic quality and the competition results, I discuss the characteristic indexes of excellent college trainers using data processing and set up the model: fuzzy comprehensive evaluation model established by simplified DHFG algorithm. Thus, the results are gained and the top 5 trainers are picked out. Finally, I compare the results with the real ranking on Bleacher Report, and the results prove well.

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