Determining Rules in Fuzzy Multiple Heuristic Orderings for Constructing Examination Timetables

نویسندگان

  • Hishammuddin Asmuni
  • Edmund K. Burke
  • Jonathan M. Garibaldi
  • Barry McCollum
چکیده

This paper presents alternative methods for producing fuzzy models for the fuzzy multiple heuristic ordering technique that we previously introduced for the construction of examination timetables. The effects of altering the rules within the fuzzy inference system were investigated. Four alternative rule 'tuning' approaches are described in detail and their results are presented and compared.

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تاریخ انتشار 2007