Referenced Items are not available for this document.
In the sequel, we consider the fuzzy job-shop problem, which is a variation of the job-shop problem where duration of tasks may be uncertain and where due-date constraints are allowed to be flexible. Uncertain durations are modeled using triangular fuzzy numbers, and due-date constraints are fuzzy sets with decreasing membership functions expressing a flexible threshold ldquoless than.rdquo Also, the objective function is built using fuzzy decision-making theory. We propose the use of a genetic algorithm (GA) to find solutions to this problem. Our aim is to provide a semantics for this type of problems and use this semantics in a methodology to analyze, evaluate, and, therefore, compare solutions. Finally, we present the results obtained using the GA and evaluate them using the proposed methodology.
Published in:
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
(Volume:38
,
Issue:
3
)
Date of Publication: May 2008
- Page(s):
- 655 - 666
- ISSN :
- 1083-4427
- INSPEC Accession Number:
- 9921579
- Digital Object Identifier :
- 10.1109/TSMCA.2008.918603
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 15 April 2008
- Issue Date :
- May 2008
- Sponsored by :
- IEEE Systems, Man, and Cybernetics Society
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