  The weighted OWA (WOWA) is a function that aggregates a set of values with
weights assigned based on the rank and relative importance of each value. The
weighted OWA of uncertain objective functions can generalize many of the
criteria that is used in decision making under uncertainty. In this paper, we
apply the WOWA criterion to two-stage decision making problems, and present
decomposition algorithms to solve them. The algorithms are applied to
location-transportation problem with uncertain demands and computational
results are presented.
