Type-2 fuzzy alpha-cuts

Type-2 fuzzy logic systems make use of type-2 fuzzy sets. To be able to deliver useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these sets. These operations should also be practically tractable. However, type-2 fuzzy sets suffer the shortcoming of being...

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Main Authors: Hamrawi, Hussam, Coupland, Simon, John, Robert
Format: Article
Published: IEEE 2017
Online Access:https://eprints.nottingham.ac.uk/32981/
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author Hamrawi, Hussam
Coupland, Simon
John, Robert
author_facet Hamrawi, Hussam
Coupland, Simon
John, Robert
author_sort Hamrawi, Hussam
building Nottingham Research Data Repository
collection Online Access
description Type-2 fuzzy logic systems make use of type-2 fuzzy sets. To be able to deliver useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these sets. These operations should also be practically tractable. However, type-2 fuzzy sets suffer the shortcoming of being complex by definition. Indeed, the third dimension, which is the source of extra parameters, is in itself the origin of extra computational cost. The quest for a representation that allow practical systems to be implemented is the motivation for our work. In this paper we define the alpha-cut decomposition theorem for type- 2 fuzzy sets which is a new representation analogous to the alpha-cut representation of type-1 fuzzy sets and the extension principle. We show that this new decomposition theorem forms a methodology for extending mathematical concepts from crisp sets to type-2 fuzzy sets directly. In the process of developing this theory we also define a generalisation that allows us to extend operations from interval type-2 fuzzy sets or interval valued fuzzy sets to type-2 fuzzy sets. These results will allow for the more applications of type-2 fuzzy sets by expiating the parallelism that the research here affords.
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spelling nottingham-329812020-05-04T18:48:30Z https://eprints.nottingham.ac.uk/32981/ Type-2 fuzzy alpha-cuts Hamrawi, Hussam Coupland, Simon John, Robert Type-2 fuzzy logic systems make use of type-2 fuzzy sets. To be able to deliver useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these sets. These operations should also be practically tractable. However, type-2 fuzzy sets suffer the shortcoming of being complex by definition. Indeed, the third dimension, which is the source of extra parameters, is in itself the origin of extra computational cost. The quest for a representation that allow practical systems to be implemented is the motivation for our work. In this paper we define the alpha-cut decomposition theorem for type- 2 fuzzy sets which is a new representation analogous to the alpha-cut representation of type-1 fuzzy sets and the extension principle. We show that this new decomposition theorem forms a methodology for extending mathematical concepts from crisp sets to type-2 fuzzy sets directly. In the process of developing this theory we also define a generalisation that allows us to extend operations from interval type-2 fuzzy sets or interval valued fuzzy sets to type-2 fuzzy sets. These results will allow for the more applications of type-2 fuzzy sets by expiating the parallelism that the research here affords. IEEE 2017-05-31 Article PeerReviewed Hamrawi, Hussam, Coupland, Simon and John, Robert (2017) Type-2 fuzzy alpha-cuts. IEEE Transactions on Fuzzy Systems, 25 (3). pp. 682-692. ISSN 1941-0034 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7482819&filter=AND(p_IS_Number:4358784) doi:10.1109/TFUZZ.2016.2574914 doi:10.1109/TFUZZ.2016.2574914
spellingShingle Hamrawi, Hussam
Coupland, Simon
John, Robert
Type-2 fuzzy alpha-cuts
title Type-2 fuzzy alpha-cuts
title_full Type-2 fuzzy alpha-cuts
title_fullStr Type-2 fuzzy alpha-cuts
title_full_unstemmed Type-2 fuzzy alpha-cuts
title_short Type-2 fuzzy alpha-cuts
title_sort type-2 fuzzy alpha-cuts
url https://eprints.nottingham.ac.uk/32981/
https://eprints.nottingham.ac.uk/32981/
https://eprints.nottingham.ac.uk/32981/