A fuzzy multi-objective neuro-evolutionary framework with bargaining-based selection for interpretable body fat prediction

Key Points

• Body fat prediction accuracy improves with a fuzzy multi-objective neuro-evolutionary framework, enhancing interpretability.
• The model shows a significant increase in predictive performance, achieving a notable 15% gain in accuracy.
• An observational analysis is conducted using advanced neuro-evolution and bargaining-based selection techniques.
• The findings encourage further exploration of interpretable models in health and fitness domains.