This paper seeks to determine the feasibility of using fuzzy concepts in conjunction with genetic algorithms in order to solve multi-objective multi-scheduler decision making problems. The domain chosen is the area of single machine scheduling. An experimentation is carried out with different fitness function type and secondary operators considering different scheduler profiles. Preliminary results show both have an effect on the schedule proposed by the system.