RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

An overview on the statistical central tendency for fuzzy data sets

Author:
Sinova Fernández, BeatrizUniovi authority; Rosa de Sáa, Sara de laUniovi authority; Lubiano Gómez, María AsunciónUniovi authority; Gil Álvarez, María ÁngelesUniovi authority
Publication date:
2015
Publisher version:
http://dx.doi.org/10.1142/S0218488515400097
Citación:
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 23(1), p. 105-132 (2015); doi:10.1142/S0218488515400097
Descripción física:
p. 105-132
URI:
http://hdl.handle.net/10651/36866
ISSN:
0218-4885
DOI:
10.1142/S0218488515400097
Patrocinado por:

The research in this paper has been partially supported by/benefited from Principality of Asturias Grants GRUPIN14-101, Research Contract E-33-2015-0040746 (Sinova) and Severo Ochoa BP12012 (De la Rosa de Sáa), and the Spanish Ministry of Economy and Competitiveness Grant MTM2013-44212-P

Collections
  • Artículos [37538]
Files in this item
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image