The integral representations of fuzzy possibility measures using the S
hilkret and Sugeno integrals are discussed. In the case of the Shilkre
t integral, it is shown that each fuzzy possibility measure p has a Pi
-a.e. unique integral representation by a Markov kernel K, where Pi, i
s a possibility measure induced by p. For the Sugeno integral, conditi
ons ensuring the uniqueness of Radon-Nikodym-like derivatives of max-m
easures are given. As a corollary we obtain the conditions for the uni
queness of the Sugeno integral representation of fuzzy possibility mea
sures using extended Pi-Markov kernels. For non-extended Markov kernel
s, the Sugeno integral representation of a fuzzy possibility measure p
is Pi-a.e. unique if and only if the induced possibility measure Pi i
s trivial. The sigma-decomposability of possibility measures is discus
sed.