Abstract
We study probability intervals as a interesting tool to represent uncertain information. Basic concepts for the management of uncertain information, as combination, marginalization, conditioning and integration are considered for probability intervals. Moreover, the relationships of this theory with some others, as lower and upper probabilities and Choquet capacities of order two are also clarified. The advantages of probability intervals with respect to these formalisms in computational efficiency are highlighted too.
This work has been supported by the DGICYT under Project n. PB92-0939
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© 1995 Springer-Verlag Berlin Heidelberg
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de Campos, L.M., Huete, J.F., Moral, S. (1995). Uncertainty management using probability intervals. 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/BFb0035950
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DOI: https://doi.org/10.1007/BFb0035950
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