Inventory optimisation with an interval type-2 fuzzy model.
| dc.contributor.author | Miller, Simon | |
| dc.contributor.author | Gongora, Mario Augusto | |
| dc.contributor.author | John, Robert, 1955- | |
| dc.date.accessioned | 2010-08-12T08:49:50Z | |
| dc.date.available | 2010-08-12T08:49:50Z | |
| dc.date.issued | 2010-07 | |
| dc.description.abstract | The planning of resources within a supply chain can prove to be a deciding factor in the success or failure of an operation. This research continues the authors' previous work using an extended Interval Type-2 Fuzzy Logic supply chain model, with an Evolutionary Algorithm to search for good resource plans. A set of enhanced experiments is conducted to validate our novel approach with optimal configurations, and determine an appropriate Evolutionary Algorithm set up for the given problem. | en |
| dc.identifier.citation | Miller, S., Gongora, M. and John, R. (2010) Inventory optimisation with an interval type-2 fuzzy model. Proceedings of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010) 18-23 July, Barcelona, Article no. 5584774 | en |
| dc.identifier.doi | https://doi.org/10.1109/FUZZY.2010.5584774 | |
| dc.identifier.uri | http://hdl.handle.net/2086/3971 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.researchgroup | Centre for Computational Intelligence | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.title | Inventory optimisation with an interval type-2 fuzzy model. | en |
| dc.type | Conference | en |