Inferential models and relevant algorithms in a possibilistic framework

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Abstract

We provide a general inferential procedure based on coherent conditional possibilities and we show, by some examples, its possible use in medical diagnosis. In particular, the role of the likelihood in possibilistic setting is discussed and once the coherence of prior possibility and likelihood is checked, we update prior possibilities. © 2010 Elsevier Inc. All rights reserved.

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Baioletti, M., Coletti, G., Petturiti, D., & Vantaggi, B. (2011). Inferential models and relevant algorithms in a possibilistic framework. In International Journal of Approximate Reasoning (Vol. 52, pp. 580–598). https://doi.org/10.1016/j.ijar.2010.12.006

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