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An Intelligent Model Development for Determining a Friendly Match Sparring-Partner in Football Game

机译:智能模型开发,用于确定足球比赛中友好比赛陪练伙伴

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The statistical data coming from football match play an interesting phenomenon. They are possibly utilized by a football team to select a strategy to play. One strategy is to choice a proper sparring-partner in exercise. For fulfilling the purpose, the study with objective is to construct an intelligent model for choosing the most proper sparring-partner for friendly-match was academically performed. Here, two methods fuzzy logic and Euclidean distance are applied as fundamental method of model. The method fuzzy logic is operated by experts to justify nine selected parameters' urgency, and the method Euclidean distance is benefitted to calculate the fitness value of two soccer teams' combination. The object oriented method is employed to design the model. Finally, in the study result, the created model shows the list of the fittest sparring-partners of each team recorded.
机译:来自足球比赛的统计数据发挥了一个有趣的现象。他们可能是由足球队使用的,以选择要发挥的策略。一个策略是选择一个适当的锻炼伴侣。为了满足目的,研究具有目的的研究是构建一个智能模型,为学术执行友好匹配的最适当的陪练合作伙伴。这里,两种方法模糊逻辑和欧几里德距离被应用为模型的基本方法。该方法模糊逻辑由专家运营,以证明九个选定参数的紧急性,并且欧几里德距离的方法有利于计算两支足球队组合的健身价值。面向对象的方法用于设计模型。最后,在研究结果中,所创建的模型显示了记录的每个团队的Fittest Sparring-Partners列表。

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