Fuzzy inference engine adapted to the strategies of football coaches.

Abstract

The invention relates to a fuzzy inference engine applied to the performance evaluation of football players, enabling personalization according to a coach's specific strategy. Unlike standardized evaluation systems, this approach incorporates fuzzy rules defined in collaboration with the coach to reflect their tactical preferences and performance criteria. The system relies on a fuzzy inference engine that applies predefined rules to assign scores to players based on input variables such as the danger of passes, distance covered, or defensive impact. These performance ratings are generated dynamically to adapt to different playing styles and competitive contexts. The fuzzy inference engine is designed for integration with data analytics platforms and can also be used as a dedicated application.This allows coaches and professional clubs to obtain a contextualized evaluation aligned with their tactical philosophy, facilitating decision-making and the analysis of individual and collective performances. The invention provides an advanced technical solution offering increased flexibility in the evaluation of athletic performance, ensuring better adaptation to the specific demands of elite football.