A. A. Dempster

A. A. Dempster was a statistician known for developing Dempster-Shafer theory, a mathematical framework for combining evidence from different sources to assess uncertainty. Unlike traditional probability, which requires precise numbers, this theory allows for representing varying degrees of belief and doubt, accommodating incomplete or conflicting information. It’s useful in fields like decision-making, artificial intelligence, and diagnostics, where information may be uncertain or partial. Dempster’s work provides a structured way to aggregate evidence and make informed conclusions even when data is uncertain or imprecise.