Combination of Upper and Lower Probabilities

Autor:	Cano, Jose E., Moral, Serafin, Verdegay-Lopez, Juan F.
Rok vydání:	2013
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	In this paper, we consider several types of information and methods of combination associated with incomplete probabilistic systems. We discriminate between 'a priori' and evidential information. The former one is a description of the whole population, the latest is a restriction based on observations for a particular case. Then, we propose different combination methods for each one of them. We also consider conditioning as the heterogeneous combination of 'a priori' and evidential information. The evidential information is represented as a convex set of likelihood functions. These will have an associated possibility distribution with behavior according to classical Possibility Theory. Comment: Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1303.5710 Zobrazit plný text záznamu View this record from Arxiv