I am studying preference relations in fuzzy logic with regards to quantifying consistency of preferences. In particular, how to quantify the consistency of somebodies preferences between three options, $i, j, k$.
My preference between any two variables can be any value in the domain $0\leq r \leq 1$
If I like $i$ more than $j$, then $r_{ij}$ is > 0.5
If I like $j$ less than $k$, then $r_{jk}$ is < 0.5
If I can't choose between $i$ and $j$ then $r_{ij} = 0.5$
Also, $r_{ij} = 1-r_{ji}$
If $r_{ij} = 0.7$ (arbitrary example) and $r_{jk} = 0.4$ then there is some function $f$ which determines my preference $r_{ik}$, if I can be modelled as perfectly rational.
$$r_{ik} = f(r_{ij}, r_{jk})\forall i,j,k$$ Where $f$ is a binary operator of the form: $$f:[0,1]\times[0,1]\to[0,1]$$
I keep seeing these functions described as "unique up to a positive linear transformation".
My issue is that I don't really have any idea what this means. I am a mechanical engineer, have done A-level maths, and a little university level maths as part of my engineering degree. Is it possible to explain roughly what this means, In a way that I would be able to understand. Appreciate any help anyone can offer.