Abstract
Survey of the mathematical models proposed to represent quantified beliefs, and their comparison. The models considered are separated into non standard probability and non probability models, according to the fact they are based on probability theory or not. The first group concerns the upper and lower probability models, the second the possibility theory and the transferable belief model.
Keywords
Research work has been partly supported by the Action de Recherches Concertées BELON funded by a grant from the Communauté Française de Belgique and the ESPRIT III, Basic Research Action 6156 (DRUMS II) funded by a grant from the Commission of the European Communities.
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Smets, P. (1995). Non standard probabilistic and non probabilistic representations of uncertainty. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Advances in Intelligent Computing — IPMU '94. IPMU 1994. Lecture Notes in Computer Science, vol 945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035934
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DOI: https://doi.org/10.1007/BFb0035934
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