Advanced Data Science Techniques with Complex Fuzzy Rough Sets: Applications and Insights

Data science advancements have changed aerospace engineering. It now helps in accurate decision-making and optimization of complex systems. This chapter introduces advanced data science techniques integrated with the Complex Fuzzy Rough WASPAS (weighted aggregated sum product assessment) approach for solving multicriteria decision-making problems in aerospace applications. We developed the Einstein aggregation theory based on CFRNs and then used these aggregation operators to develop the WAS- PAS approach. The proposed approach utilizes complex fuzzy rough sets to provide a means of dealing with data uncertainties and imprecise natures, combined with the computational effectiveness of the WASPAS method for robust evaluation and ranking of alternatives. These outcomes show that this hybrid method provides more accuracy along with adaptability, giving opportunities for intelligent and resilient solutions in aerospace.