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

General weighted extropy of minimum and maximum ranked set sampling with unequal samples