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Expert Nutritional System for Military Athletes Based on Fuzzy Logic and Inferential Statistics

Abstract:

Athletic performance seeks to enhance the physical and mental state of the athlete, and it is implicit to systematize sports training; for this reason, managing the monitoring of the physical state of athletes implies relating variables such as initial physical performance, hydration, types of nutrition, and training to take successful strategic actions. Among the innumerable factors that promote success in sport, training, motivation and, above all, resistance to bodily injury is limited since the time to test the athlete in respect to his talent and training the margin of risk between victory and defeat is minimal, nutrition is a fundamental element in the physical preparation of a specific athlete of those who are very disciplined because the diet benefits or affects sports performance and therefore the desired result. It must be taken into account that each athlete must be aware of the nutritional objectives to be achieved and how they can improve a feeding strategy to comply with the expert’s guidance and in this way shape their long, medium and short term goals. This study was a focus on planning and training of military athletes and proposes the structure of an expert nutritional system to reach better standards. The system is available through the use of web services focused on new technologies based on inferential statistical systems and fuzzy logic applying a statistic analysis aimed at decision making. The web services are aimed at improving the monitoring of the physical condition of the athletes to provide nutritional support for the maintenance of a healthy lifestyle with good physical performance, that is to say, it simplifies the information contained in the original variables, looking for the interrelations between the numerical variables defined simultaneously in a set of elements. The results achieved show an improved performance in the physical evaluation of athletes.