Seda Turk
Interval type-2 fuzzy sets in supplier selection
Turk, Seda; John, Robert; �zcan, Ender
Authors
Robert John
ENDER OZCAN ender.ozcan@nottingham.ac.uk
Professor of Computer Science and Operational Research
Abstract
Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. This study introduces a model for solving the supplier selection problem using interval type-2 fuzzy sets. Moreover, the influence of the membership function shape on the results obtained from the model has been investigated on a real-world problem instance tackled by Ordoobadi.
Conference Name | 2014 14th UK Workshop on Computational Intelligence (UKCI) |
---|---|
End Date | Sep 10, 2014 |
Acceptance Date | Jul 11, 2014 |
Publication Date | Sep 10, 2014 |
Deposit Date | Jun 27, 2016 |
Publicly Available Date | Jun 27, 2016 |
Peer Reviewed | Peer Reviewed |
Book Title | 2014 14th UK Workshop on Computational Intelligence (UKCI) |
DOI | https://doi.org/10.1109/UKCI.2014.6930168 |
Public URL | https://nottingham-repository.worktribe.com/output/736727 |
Publisher URL | http://dx.doi.org/10.1109/UKCI.2014.6930168 |
Additional Information | Published in: 2014 14th UK Workshop on Computational Intelligence (UKCI): Student Central Lecture Theatre SC0.51, University of Bradford, Bradford, West Yorkshire, UK : 8-10 September 2014 /editors, Daniel Neagu, Mariam Kiran, Paul Trundle. [Piscataway, N.J.] :IEEE,c2014. ISBN: 9781479955381, doi: 10.1109/UKCI.2014.6930168. |
Files
UKCI2014_submission_6.pdf
(334 Kb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
You might also like
A benchmark dataset for multi-objective flexible job shop cell scheduling
(2023)
Journal Article
An adaptive greedy heuristic for large scale airline crew pairing problems
(2023)
Journal Article
ML meets MLn: machine learning in ligand promoted homogeneous catalysis
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search