Just a bit of a strange question. Modern formulations of probability theory rest upon measure theory. This poses an issue for non-measurable sets. Typically, one simply excludes these sets from the analysis and considers only measurable subsets of, for example, the real numbers.
It can be shown that the following four assumptions cannot all be true:
$P_0$: If a set has a measure, it is a value $0 \leq x \leq \infty$ in the extended reals.
$P_1$: If a set $P$ has measure $x$, then the set $P' = E(P)$ also has measure $x$, where $E$ represents an arbitrary element of the full Euclidean symmetry group of rotations and translations.
$P_2$: Measure is a sigma-additive function. If $P$ and $P'$ are disjoint sets with measures $x$ and $x'$, respectively, then the measure of $P \cup P'$ is $x + x'$.
$P_3$: Every subset of $\mathbb{R}^n$ has a measure.
In standard analysis, it is usually $P_3$ which is rejected. One then does measure theory, and therefore probability theory, with the sigma algebra of measurable subsets. One then defines the Lebesgue measure as the unique function satisfying all postulates $P_0-P_2$ for $\mathbb{R}^n$.
My question is this. Is it possible to produce a consistent measure theory with $P_1$, $P_2$, and $P_3$ but rejecting $P_0$? In particular, if we let the measure of a set be given, in general, by a non-negative surreal number, would this allow the other axioms to hold?
As an example, one could imagine a Vitali set as having a measure of $\frac{1}{\omega}$.