Inferential models and relevant algorithms in a possibilistic framework

Authors:
M. Baioletti;G. Coletti;D. Petturiti;B. Vantaggi
Affiliations:
Department of Mathematics and Informatics, University of Perugia, Italy;Department of Mathematics and Informatics, University of Perugia, Italy;Department of Mathematics and Informatics, University of Perugia, Italy;Department S.B.A.I., Section of Mathematics, “Sapienza” University of Rome, Italy
Venue:
International Journal of Approximate Reasoning
Year:
2011

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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.