Enhancing Predictive Accuracy and Operational Performance Based on Entropy–TOPSIS Framework for Machine Learning Model Selection for Predictive Maintenance
A reproducible multicriteria decision-making framework that integrates objective Entropy-based weighting with the TOPSIS method for ML model selection in predictive maintenance applications is proposed and demonstrates that ML model selection in predictive maintenance should not rely solely on conventional predictive m...