  The evolution of skyline and ranking queries has created new archetypes like
flexible skylines, which have proven to be an efficient method to select
relevant data from large datasets using multi objective optimization. This
paper aims to study the possible applications of Poisson distribution mass
function as a monotonic scoring function in flexible skyline processes,
especially those featuring schemas whose attributes can be translated to
constant mean rates. Moreover, a method to express users's requirement by means
of the F-dominant set of tuples will be proposed using parametrical variations
in F[1], simultaneously, algorithm construction and potential applications will
be studied.
