# Accounting for membership in set, but also quantity in event

Say we have a sample space $$\Omega_1 = \{\text{"alpha"},\text{"beta"},\text{"gamma"},\text{"delta"}\}$$ if we only care about the (binary) membership in set in each event, the event space would be the power set of $$\Omega_1$$: $$\mathcal{F_1} = \{\emptyset, \{\text{"alpha"}\},\{\text{"beta"}\},...,\{\text{"alpha"},\text{"beta"},\text{"gamma"}\}, \Omega_1\}$$

But what if, in each event, I want to also include the (real-valued) "quantity" of each element in set, in addition to the binary membership?

One approach that came to mind is to have a separate, real-valued continuous sample space $$\Omega_2 = [0,100]$$

Then the joint sample space would be $$\Omega_\text{1,2}=\Omega_1\times\Omega_2$$

And an example event will look something like: $$\{\text{"alpha"}, 32.8,\text{"beta"},43.6,\text{"gamma"},7.21\}$$

Does this approach make sense? Or are there better ways to do this?

And what would be the appropriate notation?

$$\Omega = \{ 0,1 \}^4 \times \mathbb{R}^4.$$
This sample space allows for four binary indicators and four corresponding real values. The event space $$\mathscr{G}$$ would then consist of the class of all Borel sets on $$\Omega$$.