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Vector valued information measures and integration with respect to fuzzy vector capacities

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Vector valued information measures and integration with respect to fuzzy vector capacities

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dc.contributor.author Sánchez Pérez, Enrique Alfonso es_ES
dc.contributor.author Szwedek, R. es_ES
dc.date.accessioned 2020-12-10T04:31:58Z
dc.date.available 2020-12-10T04:31:58Z
dc.date.issued 2019-01-15 es_ES
dc.identifier.issn 0165-0114 es_ES
dc.identifier.uri http://hdl.handle.net/10251/156661
dc.description.abstract [EN] Integration with respect to vector-valued fuzzy measures is used to define and study information measuring tools. Motivated by some current developments in Information Science, we apply the integration of scalar functions with respect to vector-valued fuzzy measures, also called vector capacities. Bartle-Dunford-Schwartz integration (for the additive case) and Choquet type integration (for the non-additive case) are considered, showing that these formalisms can be used to define and develop vector-valued impact measures. Examples related to existing bibliometric tools as well as to new measuring indices are given. es_ES
dc.description.sponsorship The authors would like to thank both Prof. Dr. Olvido Delgado and the referee for their valuable comments and suggestions which helped to prepare the manuscript. The first author gratefully acknowledges the support of the Ministerio de Economia, Industria y Competitividad (Spain) under project MTM2016-77054-C2-1-P. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Fuzzy Sets and Systems es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Non-additive measures es_ES
dc.subject Measures of information es_ES
dc.subject Choquet integral es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Vector valued information measures and integration with respect to fuzzy vector capacities es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.fss.2018.05.004 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//MTM2016-77054-C2-1-P/ES/ANALISIS NO LINEAL, INTEGRACION VECTORIAL Y APLICACIONES EN CIENCIAS DE LA INFORMACION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Sánchez Pérez, EA.; Szwedek, R. (2019). Vector valued information measures and integration with respect to fuzzy vector capacities. Fuzzy Sets and Systems. 355:1-25. https://doi.org/10.1016/j.fss.2018.05.004 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.fss.2018.05.004 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 25 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 355 es_ES
dc.relation.pasarela S\406138 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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