Relational assessment in hypersoft sets: a decision-maker driven approach
Abstract Hypersoft set theory has become an essential mathematical framework for modeling multi-parameter uncertainty; however, most of its current extensions, including fuzzy and intuitionistic hypersoft sets, still depend on the decision-maker’s subjective evaluation when assigning (non-)membership degrees ...
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Rough Sets approximate subsets by defining lower and upper bounds, effectively capturing uncertainty through equivalence classes or indiscernibility relations. Additionally, concepts such as Fuzzy Sets, Neutrosophic Sets, and Soft Sets are well-known for addressing uncertainty, with numerous applications explored in various fields.
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