On Nie-Tan Operator and Type-reduction of Interval Type-2 Fuzzy Sets
dc.cclicence | CC-BY-NC | en |
dc.contributor.author | Jiawei, Li | en |
dc.contributor.author | John, Robert, 1955- | en |
dc.contributor.author | Coupland, Simon | en |
dc.contributor.author | Graham Kendall | en |
dc.date.acceptance | 2017-01-18 | en |
dc.date.accessioned | 2017-02-08T10:01:41Z | |
dc.date.available | 2017-02-08T10:01:41Z | |
dc.date.issued | 2017-02-09 | |
dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
dc.description.abstract | Type-reduction of type-2 fuzzy sets is considered to be a defuzzification bottleneck because of the computational complexity involved in the process of type-reduction. In this research, we prove that the closed-form Nie-Tan operator, which outputs the average of the upper and lower bounds of the footprint of uncertainty, is actually an accurate method for defuzzifing interval type-2 fuzzy sets. | en |
dc.funder | N/A | en |
dc.identifier.citation | Li, J., John, R., Coupland, S. and Kendall, G. (2017) On Nie-Tan Operator and Type-reduction of Interval Type-2 Fuzzy Sets., IEEE Transactions on Fuzzy Systems. 26 (2), pp. 1036-1039 | en |
dc.identifier.doi | https://doi.org/10.1109/tfuzz.2017.2666842 | |
dc.identifier.issn | 1941-0034 | |
dc.identifier.uri | http://hdl.handle.net/2086/13227 | |
dc.language.iso | en | en |
dc.peerreviewed | Yes | en |
dc.projectid | N/A | en |
dc.publisher | IEEE | en |
dc.researchgroup | Centre for Computational Intelligence | en |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
dc.subject | Fuzzy Logic | en |
dc.subject | Defuzzification | en |
dc.title | On Nie-Tan Operator and Type-reduction of Interval Type-2 Fuzzy Sets | en |
dc.type | Article | en |