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Let ξ and η be rough variables with finite expected values.
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Assume that ξ and η are fuzzy rough variables with finite expected values.
Let (xi=([a,b],[c,d])) be a rough variable with (cle a< ble d).
Let (xi=([a,b],[c,d])) be a rough variable with (cle a< ble d) representing the identity function (xi(lambda)=lambda) from the rough space ((Lambda,Delta, mathscr{A},pi)) to the set of real numbers, where (Lambda={clelambdale d}), (Delta={alelambdale b}), and π is the Lebesgue measure, which is a standard method that gives the subsets of a Euclidean space a length, area, or volume.
Let ξ and η be two fuzzy rough variables with (E[xi^{2}]
Don't be rough with the baby.
Remember not to be rough with the cat.
Do not be rough with your marble, it might smash.
Let ξ be a fuzzy rough variable with finite expected value (E[xi ]).
Let ξ be a fuzzy rough variable with finite expected value e and standard deviation σ.
Let p be a real number with (1le prough variables with (E[|xi|^{p}]
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