  The main aim of decision support systems is to find solutions that satisfy
user requirements. Often, this leads to predictability of those solutions, in
the sense that having the input data and the model, an adversary or enemy can
predict to a great extent the solution produced by your decision support
system. Such predictability can be undesirable, for example, in military or
security timetabling, or applications that require anonymity. In this paper, we
discuss the notion of solution predictability and introduce potential
mechanisms to intentionally avoid it.
