Abstract
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.
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Chau, C.K., Sim, K.M. (2001). Engineering Fuzzy Constraint Satisfaction Agents for Multi-user Timetable Scheduling. In: Liu, J., Yuen, P.C., Li, Ch., Ng, J., Ishida, T. (eds) Active Media Technology. AMT 2001. Lecture Notes in Computer Science, vol 2252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45336-9_29
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DOI: https://doi.org/10.1007/3-540-45336-9_29
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