Towards Fuzzy Techniques for Capturing Subjective (Human) Aspects of Counter-Terrorism Planning: Optimizing Trajectories for UAV Patrolling the Border

At first glance, most aspects of counter-terrorism activity look like classical examples of zero-sum games, in which the interests of the two sides are exactly opposite. This is how such situations are planned now: this is how air marshals are assigned to flights, this is how routes of coast guard ships are planned, etc. However, there is a big difference between such situations and the traditional zero-sum games: in the traditional zerosum games, it is assumed that we know the exact objective function of each participant; in contrast, in counter-terrorism planning, the adversary’s objective function is rarely known in precise terms; at best, we have the description of this objective function in terms of words from natural language. In this paper, on an example of an UAV patrolling the border, we show how fuzzy techniques can help in planning counterterrorism strategies under such uncertainty.