Competitive Aerobics Athlete Body Function Comparative Analysis and Comprehensive Evaluation Mode Application
Liping Wang
Abstract
Open-access reader
Liping Wang
Abstract
Open-access reader
The paper studies competitive aerobics athletes body function, after making comprehensive evaluation on one group of competitive aerobics athletes body functions, obtained result is competitive aerobics athletes body function belongs to good level, by making comprehensive evaluation on competitive aerobics athletes body function, it well verifies fuzzy mathematics adaptability and effectiveness, and utilizes performance quantization method, to further research, the paper carries out concrete analysis on three competitive aerobics athletes body function, finally gets the three competitive aerobics athletes body function total performances rank 2 3 1 s s s < < , and finally proposes methods to promote competitive aerobics athletes body function, and provides theoretical supports for future researching on competitive aerobics athletes body function.
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The paper studies competitive aerobics athletes body function, after making comprehensive evaluation on one group of competitive aerobics athletes body functions, obtained result is competitive aerobics athletes body function belongs to good level, by making comprehensive evaluation on competitive aerobics athletes body function, it well verifies fuzzy mathematics adaptability and effectiveness, and utilizes performance quantization method, to further research, the paper carries out concrete analysis on three competitive aerobics athletes body function, finally gets the three competitive aerobics athletes body function total performances rank 2 3 1 s s s < < , and finally proposes methods to promote competitive aerobics athletes body function, and provides theoretical supports for future researching on competitive aerobics athletes body function.
Key concepts: Computer science, Mode (computer interface), Function (biology), Physical medicine and rehabilitation, Physical therapy, Medicine, Human–computer interaction, Evolutionary biology