Abstract
In the context of globalization and informationization, stadiums city refers to a class of cities that are of great significance to regional sports. This paper studies the evaluation of urban public sports services in stadiums city under the fuzzy theory. In this paper, the fuzzy evaluation procedure and index of public sports service in stadiums are firstly selected and determined according to the weight ratio. Secondly, FNN algorithm for improving hidden nodes is introduced to solve the model based on the idea of neural network. Finally, we come to the conclusion that its public sports service quality is medium level, after taking Shenyang as an example and judging the quality of urban public sports services by using fuzzy comprehensive evaluation system.
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Jin, Z. Research on evaluation of public sports service in stadiums based on FNN algorithm. Cluster Comput 22 (Suppl 6), 13835–13842 (2019). https://doi.org/10.1007/s10586-018-2105-3
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DOI: https://doi.org/10.1007/s10586-018-2105-3