Variable Precision Fuzzy Soft Rough Set Based on Absolute Error

Abstract In recent years, the organic integration of soft sets and rough set prototypes has turned into a vital expansion direction. Among them, the correlative on variable precision soft rough sets has drawn extensive attention from scholars. In the actual process of data processing and decision analysis, some fusion prototypes are vulnerable to erroneously tagged data or only take relative errors into account. In order to make up for the deficiencies, this thesis presents a variable precision fuzzy soft rough set prototype anchored in absolute error. Besides presenting the definition of this prototype, we also conduct an in-depth exploration of its key computational properties. Finally, through a comparative analysis of the degenerated prototype, we conclude that the novel prototype predicated on absolute error put forth in this article is efficacious augmentation of the variable precision soft rough ensemble prototype.