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Dempster–Shafer theory, also known as the theory of evidence, is a mathematical framework used in artificial intelligence and machine learning to model uncertainty and incomplete information. Unlike classical probability theory, which assigns probabilities directly to individual events, Dempster–Shafer theory allows belief to be assigned to sets of possibilities. This makes it especially useful in situations where evidence is imprecise, conflicting, or partially unknown, which is common ____ ___ _______ _____ _______ __________ ___ ____ ____ ______.
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