  In industrial, environmental, and ecological investigations, ranked set
sampling is a sample method that enables the experimenter to use the whole
range of population values. The ranked set sampling process can be modified in
two extremely helpful ways: maximum ranked set sampling with unequal samples
and minimum ranked set sampling with unequal samples. They permit an increase
in set size without too many ranking errors being introduced. In this paper, we
are defining general weighted extropy (GWJ) of minimum and maximum ranked set
samples when samples are of unequal size (minRSSU and maxRSSU, respectively).
Stochastic comparison and monotone properties have been studied under different
situations. Additionally, we compare the extropy of these two sampling data
with that of ranked set sampling data and simple random sampling data. Finally,
Bounds of GWJ of minRSSU and maxRSSU have been obtained.
