Fuzzy Multiple Ordering Criteria for Examination Timetabling

Abstract

Ordering exams by simultaneously considering two ordering criteria using a fuzzy expert system is presented in this paper. Combinations of two of the three ordering criteria largest degree, saturation degree and largest enrollment are considered. The fuzzy weight of an exam is used to represent how difficult it is to schedule. The decreasingly ordered exams are sequentially chosen to be assigned to the last slot with least penalty cost value while the feasibility of the timetable is maintained throughout the process. Unscheduling and rescheduling exams is performed until all exams are scheduled. The proposed algorithm has been tested on 12 benchmark examination timetabling datasets and the results show that this approach can produce good quality solutions. Moreover, there is significant potential to extend the approach by including a larger range of criteria.

8 Figures and Tables

Statistics

0102030'03'05'07'09'11'13'15'17
Citations per Year

100 Citations

Semantic Scholar estimates that this publication has 100 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Asmuni2004FuzzyMO, title={Fuzzy Multiple Ordering Criteria for Examination Timetabling}, author={Hishammuddin Asmuni and Edmund K. Burke and Jonathan M. Garibaldi}, year={2004} }