N-dimensional admissibly ordered interval-valued overlap functions and its influence in interval-valued fuzzy rule-based classification systems

dc.contributor.authorDa Cruz Asmus, Tiago
dc.contributor.authorSanz Delgado, José Antonio
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.authorBedregal, Benjamin
dc.contributor.authorFernández Fernández, Francisco Javier
dc.contributor.authorBustince Sola, Humberto
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.date.accessioned2022-03-10T08:00:02Z
dc.date.available2022-03-10T08:00:02Z
dc.date.issued2021
dc.description.abstractOverlap functions are a type of aggregation functions that are not required to be associative, generally used to indicate the overlapping degree between two values. They have been successfully used as a conjunction operator in several practical problems, such as fuzzy rulebased classification systems (FRBCSs) and image processing. Some extensions of overlap functions were recently proposed, such as general overlap functions and, in the interval-valued context, n-dimensional interval-valued overlap functions. The latter allow them to be applied in n-dimensional problems with interval-valued inputs, like interval-valued classification problems, where one can apply interval-valued FRBCSs (IV-FRBCSs). In this case, the choice of an appropriate total order for intervals, like an admissible order, can play an important role. However, neither the relationship between the interval order and the n-dimensional interval-valued overlap function (which may or may not be increasing for that order) nor the impact of this relationship in the classification process have been studied in the literature. Moreover, there is not a clear preferred n-dimensional interval-valued overlap function to be applied in an IV-FRBCS. Hence, in this paper we: (i) present some new results on admissible orders, which allow us to introduce the concept of n-dimensional admissibly ordered interval-valued overlap functions, that is, n-dimensional interval-valued overlap functions that are increasing with respect to an admissible order; (ii) develop a width-preserving construction method for this kind of function, derived from an admissible order and an n-dimensional overlap function, discussing some of its features; (iii) analyze the behaviour of several combinations of admissible orders and n-dimensional (admissibly ordered) interval-valued overlap functions when applied in IV-FRBCSs. All in all, the contribution of this paper resides in pointing out the effect of admissible orders and n-dimensional admissibly ordered interval-valued overlap functions, both from a theoretical and applied points of view, the latter when considering classification problems.en
dc.format.extent13 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationT. d. C. Asmus, J. A. A. Sanz, G. Pereira Dimuro, B. Bedregal, J. Fernandez and H. Bustince, 'N-Dimensional Admissibly Ordered Interval-valued Overlap Functions and its Influence in Interval-valued Fuzzy Rule-based Classification Systems,' in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2021.3052342.en
dc.identifier.doi10.1109/TFUZZ.2021.3052342
dc.identifier.issn1941-0034 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/42493
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Transactions on Fuzzy Systemsen
dc.relation.publisherversionhttps://doi.org/10.1109/TFUZZ.2021.3052342
dc.rights© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectN-dimensional overlap functionsen
dc.subjectInterval-valueden
dc.titleN-dimensional admissibly ordered interval-valued overlap functions and its influence in interval-valued fuzzy rule-based classification systemsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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