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"An intelligent decision support system for warranty claims forecasting" by Ali Nikseresht, Sajjad Shokouhyar et al.

This work develops a novel approach based on Machine Learning (ML)-assisted Quality Function Deployment (QFD) to sift the gold from the stone. It includes Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD), Deep Ensemble Random Vector Functional Link (DE-RVFL), and a Bayesian optimization algorithm for optimizing the shaped DE-RVFLTVF-EMD hyperparameters. This approach makes it possible for the proposed methods to be dynamic enough to deal with the data's volatility, complexity, uncertainty, and ambiguity. It is demonstrated that incorporating TVF-EMD to provide time-frequency analysis along DE-RVFL, and goal-oriented social media analytics boosts the performance of out-of-sample predictions statistically and compensates for the “warranty data maturation” effect. The proposed algorithm's Root Mean Square Error (RMSE) decreases by 23.37%-88.76% relative to other benchmark cutting-edge models. This study contributes significantly to the services management com ....

Machine Learning , Quality Function Deployment , Deep Ensemble Random Vector Functional Link , Root Mean Square Error , Deep Learning , Quality Function Deployment , Social Media Analytics , Time Frequency Analysis , Arranty Claims Prediction ,

Dear President William Ruto, Consider Establishing a Ministry for Industrial Quality Leadership

Dear President William Ruto, Consider Establishing a Ministry for Industrial Quality Leadership
thenigerianvoice.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thenigerianvoice.com Daily Mail and Mail on Sunday newspapers.

United States , William Ruto , Harlan Ullman , Ministry Of Trade Industry , Kenya Bureau Of Standard , Kenya Bureau Of Standards , Kenya Bureau , Quality Function Deployment , Failure Why America Losses War , Professor Harlan , Industrial Quality Leadership , Global Southern ,