Orness for real m-dimensional interval-valued OWA operators and its application to determine a good partition
| dc.contributor.author | Miguel Turullols, Laura de | |
| dc.contributor.author | Paternain Dallo, Daniel | |
| dc.contributor.author | Lizasoain Iriso, María Inmaculada | |
| dc.contributor.author | Ochoa Lezaun, Gustavo | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Institute for Advanced Materials and Mathematics - INAMAT2 | en |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA1 | es |
| dc.date.accessioned | 2020-05-26T13:13:00Z | |
| dc.date.available | 2020-10-03T23:00:11Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Ordered Weighted Averaging (OWA) operators are a profusely applied class of averaging aggregation functions, i.e. operators that always yield a value between the minimum and the maximum of the inputs. The orness measure was introduced to classify the behavior of the OWA operators depending on the weight vectors. Defining a suitable orness measure is an arduous task when we deal with OWA operators defined over more intricate spaces, such us intervals or lattices. In this work we propose a suitable definition for the orness measure to classify OWA operators defined on the set of m-dimensional intervals taking real values in [0, 1]. The orness measure is applied to decide which is the best partition of a continuous range that should be divided into four linguistic labels. This example shows the good behavior of the proposed orness measure. | en |
| dc.description.sponsorship | This work has been partially supported by MINECO, AEI/FEDER, UE (Ministerio de Economía y Competitividad) [grant TIN2016-77356-P] and by the Public University of Navarre (Universidad Pública de Navarra) under the project PJUPNA1. | en |
| dc.embargo.lift | 2020-10-03 | |
| dc.embargo.terms | 2020-10-03 | |
| dc.format.extent | 19 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1080/03081079.2019.1668386 | |
| dc.identifier.issn | 0308-1079 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/36971 | |
| dc.language.iso | eng | en |
| dc.publisher | Taylor & Francis | en |
| dc.relation.ispartof | International Journal of General Systems, 2019, 48 (8), 843-860 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-P/ | |
| dc.relation.publisherversion | https://doi.org/10.1080/03081079.2019.1668386 | |
| dc.rights | © 2019 Informa UK Limited, trading as Taylor & Francis Group | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | OWA operator | en |
| dc.subject | Interval-valued fuzzy sets | en |
| dc.subject | Orness measure | en |
| dc.subject | Partition | en |
| dc.title | Orness for real m-dimensional interval-valued OWA operators and its application to determine a good partition | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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