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Vector fuzzy c-spherical shells (VFCSS) over non-crisp numbers for satellite imaging

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dc.contributor.author Kazerouni, Iman Abaspur
dc.contributor.author Mahdipour, Hadi
dc.contributor.author Dooly, Gerard
dc.contributor.author Toal, Daniel
dc.date.accessioned 2021-11-22T13:19:35Z
dc.date.available 2021-11-22T13:19:35Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/10344/10808
dc.description peer-reviewed en_US
dc.description.abstract The conventional fuzzy c-spherical shells (FCSS) clustering model is extended to cluster shells involving non-crisp numbers, in this paper. This is achieved by a vectorized representation of distance, between two non-crisp numbers like the crisp numbers case. Using the proposed clustering method, named vector fuzzy c-spherical shells (VFCSS), all crisp and non-crisp numbers can be clustered by the FCSS algorithm in a unique structure. Therefore, we can implement FCSS clustering over various types of numbers in a unique structure with only a few alterations in the details used in implementing each case. The relations of VFCSS applied to crisp and non-crisp (containing symbolic-interval, LR-type, TFN-type and TAN-type fuzzy) numbers are presented in this paper. Finally, simulation results are reported for VFCSS applied to synthetic LR-type fuzzy numbers; where the application of the proposed method in real life and in geomorphology science is illustrated by extracting the radii of circular agricultural fields using remotely sensed images and the results show better performance and lower cost computational complexity of the proposed method in comparison to conventional FCSS. en_US
dc.language.iso eng en_US
dc.publisher MDPI en_US
dc.relation SMART 4.0 en_US
dc.relation.ispartofseries Remote Sensing;13, 4482.
dc.subject imaging en_US
dc.subject fuzzy set en_US
dc.title Vector fuzzy c-spherical shells (VFCSS) over non-crisp numbers for satellite imaging en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.3390/rs13214482
dc.contributor.sponsor Horizon 2020 en_US
dc.contributor.sponsor SFI en_US
dc.contributor.sponsor ERC
dc.contributor.sponsor European Union (EU)
dc.contributor.sponsor Marie Curie-Sklodowska Action (MCSA)
dc.relation.projectid 847577 en_US
dc.relation.projectid 16/RC/3918 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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