Game-theoretic rough sets combine concepts from rough set theory and game theory to analyze and model situations where uncertainty or indiscernibility exists among different elements of a dataset. Let’s break down the components: ### Rough Sets Rough set theory, introduced by Zdzisław Pawlak in the early 1980s, is a mathematical approach to dealing with uncertainty, vagueness, and indiscernibility in data. It partitions a set into approximations based on available information.
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