PROCEEDINGS IPMU '08
On Evidential Markov Chains
Hélène Soubaras.
Evidential Markov chains (EMCs) are
a generalization of classical Markov
chains to the Dempster-Shafer theory,
replacing the involved states by sets
of states. They have been proposed
recently in the particular field of an
image segmentation application, as hidden
models. With the aim to propose
them as a more general tool, this paper
explores new theoretical aspects about
the conditioning of belief functions and
the comparison to classical Markov
chains and HMMs will be discussed.
New computation tools based on
matrices are proposed. The potential
application domains seem promising in
the information-based decision-support
systems and an example is given.
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