Probability based on partially ordered sets

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Is there any alternative study of "probability" where random variables are defined as maps between a sample space and a partially ordered set, rather than a sample space and the real interval $[0,1]$? If it exists, what is this theory called and what are some good references?

In such a setting, one could talk about one event being more likely than another, but perhaps not about the absolute probabilty of an event occurring.

I googled around, but what I found were different concepts involving partially ordered sets and probability (e.g., defining stochastic processes on partially ordered sets to generalize the concept of "time"), but not what I'm talking about.

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The term you are looking for is Comparative Probability. I am only familiar with this topic through a brief mention in Appendix A of Probability Theory: The Logic of Science by E.T. Jaynes so cannot provide any information on the details or utility of the subject.