Konferenční příspěvek

Joint 4th International Conference on Soft Computing and Intelligent systems and 9th International Symposium on Advanced Intelligent Systems

Nagoya University

Nagoya

2008

1880-3741

Prof. Radim Jiroušek, DrSc. (ÚTIA - Oddělení matematické teorie rozhodování)

compositional model, belief function, multidimensionality

Analogously to Graphical Markov models, also Compositional models serve as an efficient tool for multidimensional models representation. The main idea of the latter models resembles a jig saw puzzle: Multidimensional models are assembled (composed) from a large number of small pieces, from a large number of low-dimensional models. Originally they were designed to represent multidimensional probability distributions. In this paper they will be used to represent multidimensional belief functions (or more precisely, multidimensional basic belief assignments) with the help of a system of low-dimensional ones.