Scheduling as a fuzzy multiple criteria optimization problem
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Scheduling under Fuzziness
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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 multi-objective 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.