Physical Exercise Effect Evaluation Based on Data Envelopment Analysis

Abstract

Data envelopment analysis is a new field of interdisciplinary research in operations research management science and mathematical economics. Data envelopment analysis uses mathematical programming to evaluate the relationship between decision-making units with multiple inputs and outputs (abbreviated as DMU). Effectiveness (DEA is effective) is to judge whether DMU is located on the "frontier surface" of the production possibility set. This paper proposes a method for evaluating the effect of physical exercise based on the data envelopment analysis method. First, a multiple logistic regression analysis was performed to examine the relationship between physical exercise effects and physical exercise outcomes. Secondly, the exercise combination efficiency analysis based on data envelopment analysis is used to select the physical exercise time optimally. Then use the historical data for training to obtain the evaluation effect. The results show that the data envelopment analysis method can evaluate the effect of physical exercise well and can also provide decision-making strategies related to sports performance.