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Interval type-2 fuzzy modelling and stochastic search for real-world inventory management

Miller, Simon; Gongora, Mario; Garibaldi, Jon; John, Robert

Authors

Simon Miller

Mario Gongora

Jon Garibaldi

Robert John



Abstract

Real-world systems present a variety of challenges to the modeller, not least of which is the problem of uncertainty inherent in their operation. In this research, an interval type-2 fuzzy model is applied to a real-world problem, the goal being to discover a suitable optimisation configuration to enable a search for an inventory plan using the model. To this end, a series of simulated annealing configurations and the interval type-2 fuzzy model were used to search for appropriate inventory plans for a large-scale real-world problem. A further set of tests were conducted in which the performance of the interval type-2 fuzzy model was compared with a corresponding type-1 fuzzy model. In these tests the results were inconclusive, though, as will be discussed there are many ways in which type-2 fuzzy logic can be exploited to demonstrate its advantages over a type-1 approach. To conclude, in this research we have shown that a combination of interval type-2 fuzzy logic and simulated annealing is a logical choice for inventory management modelling and inventory plan search, and propose that the benefits that a type-2 model offers, can make it preferable to a corresponding type-1 system.

Citation

Miller, S., Gongora, M., Garibaldi, J., & John, R. (2012). Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. Soft Computing, 16(8), 1447-1459. https://doi.org/10.1007/s00500-012-0848-y

Journal Article Type Article
Online Publication Date Apr 8, 2012
Publication Date Jan 1, 2012
Deposit Date Dec 7, 2014
Publicly Available Date Mar 29, 2024
Journal Soft Computing
Print ISSN 1432-7643
Electronic ISSN 1433-7479
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 16
Issue 8
Pages 1447-1459
DOI https://doi.org/10.1007/s00500-012-0848-y
Keywords Interval type-2 fuzzy logic; Real-world inventory management; Simulated annealing
Public URL https://nottingham-repository.worktribe.com/output/1008975
Publisher URL http://dx.doi.org/10.1007/s00500-012-0848-y
Additional Information The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-012-0848-y

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