“…17, 18] families offer outranking relations on the set of alternatives considering the decision marker's preferences so that an alternative x (e.g., university, bank, hospital, police department, vendor, city, region, person), for instance, is claimed to outrank another alternative y if, and only if, x is at least as good as y and there is no strong argument to contradict this assertion [19]. In this paper, we combine the Full Disposal Hull (FDH) [20] directional efficiency measure for policing conditional to crime as an exogenous factor with the PROMETHEE outranking for a complete classification of Pernambuco's municipalities based on the efficiency of each police department in solving three types of crimes violent crimes (CVLI), street robberies (mugging) and carjack (or more generally motor vehicle theft and robbery) using officers as input and based on the effectiveness of reaching Pact for Life state goal on reducing homicides [5,21,22]. Some assessments of crime and policing in Pernambuco has used multicriteria and geospatial tools for ranking, clustering and classifying units and regions according to the vulnerability to homicides [23,24,25], preference learning [26,27], and property crimes [28,29].…”