Inventory optimisation with an interval type-2 fuzzy model.

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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.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.uri http://hdl.handle.net/2086/3971
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.language.iso en en
dc.publisher IEEE en
dc.title Inventory optimisation with an interval type-2 fuzzy model. en
dc.type Conference en
dc.identifier.doi http://dx.doi.org/10.1109/FUZZY.2010.5584774
dc.researchgroup Centre for Computational Intelligence en


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