Modified DEMATEL Method Based on Objective Data Grey Relational Analysis for Time Series

Smart data selection can quickly sieve valuable information from initial data. Doing so improves the efficiency of analyzing situations to aid in better decision-making. Past methods have mostly been based on expert experience, which may be subjective and inefficient when dealing with large, complex datasets. Recently, system analysis method has exploited find key However, few studies address indirect effects heterogeneity time series In this study, a method, modified Decision-Making Trial Evaluation Laboratory (DEMATEL) objective grey relational (GRA), is used enhance ability analyze time-series GRA was first applied assess direct impact raw indicators. Then, DEMATEL adopted overall by including heterogeneity. We Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dataset perform remaining useful life (RUL) prediction aircraft engines. The results suggest that our predicts well. Our work offers nuanced approach identifying potential applications.