Citation

Asmuni, H; Burke, E. K; Garibaldi, J. M and McCollum, B Determining Rules in Fuzzy Multiple Heuristic Orderings for Constructing Examination Timetables. In proceedings of the 3rd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2007), 28 -31 August 2007, Paris, France, pages 59-66, 2007.

Paper


Abstract

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.


pdf

You can download the pdf of this publication from here


doi

This publication does not have a doi, so we cannot provide a link to the original source

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information



URL

This pubication does not have a URL associated with it.

The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


Bibtex

@INPROCEEDINGS{2007-059-066-P, author = {H. Asmuni and E. K. Burke and J. M. Garibaldi and B. McCollum},
title = {Determining Rules in Fuzzy Multiple Heuristic Orderings for Constructing Examination Timetables},
booktitle = {In proceedings of the 3rd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2007), 28 -31 August 2007, Paris, France},
year = {2007},
editor = {P. Baptiste and G. Kendall and A. Munier-Kordon and F. Sourd},
pages = {59--66},
note = {Paper},
abstract = {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.},
owner = {Faizah Hamdan},
timestamp = {2012.05.21},
webpdf = {2007-059-066-P.pdf} }