Theory of Evidence
The Theory of Evidence, also known as Dempster-Shafer theory, is a framework for reasoning under uncertainty. It allows us to combine different pieces of evidence to make inferences or decisions. Instead of assigning probabilities to specific outcomes, it uses what is known as belief functions to express how much support evidence provides to various hypotheses. This approach captures the ambiguity and partial knowledge we often face in real-life situations, making it useful for fields like decision-making, artificial intelligence, and risk assessment, where certainty is not always achievable.
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The Theory of Evidence, or Dempster-Shafer theory, is a mathematical framework for representing and reasoning about uncertainty. It allows us to combine various pieces of evidence to determine the likelihood of different outcomes. Instead of providing a single probability, it offers a range of possibilities, reflecting the degree of uncertainty and conflict among the evidence. This approach is useful in situations where information is incomplete or ambiguous, helping to make informed decisions based on available knowledge while acknowledging uncertainty.