A soft set is a mathematical concept introduced by D. Molodtsov in 1999, which is used to model uncertainty and vagueness in various fields, including decision-making, artificial intelligence, and information science. It generalizes the traditional set theory by incorporating a parameterized framework for representing uncertain data.
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