Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems
作者： Luciano Sánchez , Inés Couso , Ana M. Palacios
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摘要: A fuzzy rule-based decision system for assisting coaches in the configuration of an athletics team is presented. The knowledge base this combines experience trainer with genetically mined information from training sessions and competitions. novelty our approach comes fact that these sources data have low quality: they include subjective perceptions mistakes athletes, different measurements taken by observers, interval-valued attributes. We will use a possibilistic representation categories information, combination extension principle-based reasoning method, show predictive power genetic which based principles improves other systems discard vagueness data.
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