This paper explores issues of engineering agents that partially automate some of the activities of timetable scheduling. In particular, it focuses on the incorporation of a more intuitive fuzzy set-based preference model and multiobjective decision-making techniques. The goal of this research is to design an effective preference capturing model and a schedule optimization methodology, to devise fuzzy constraint satisfaction agents (FCSAS) assisting in the automatic scheduling system, and to engineer an agent-based testbed. Experimental results show FCSAS are able to search for and suggest optimum timeslot with a high degree of users’ satisfaction.