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Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making

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Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making

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Zeng, S.; Merigó, JM.; Palacios Marqués, D.; Jin, H.; Gu, F. (2017). Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making. Journal of Intelligent & Fuzzy Systems. 32(1):11-22. https://doi.org/10.3233/JIFS-141219

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/112489

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Título: Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making
Autor: Zeng, Shouzhen Merigó, José M. Palacios Marqués, Daniel Jin, Huanhuan Gu, Fengjuan
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] In this paper, we develop a new method for intuitionistic fuzzy decision making problems with induced aggregation operators and distance measures. Firstly, we introduce the intuitionistic fuzzy induced ordered weighted ...[+]
Palabras clave: Intuitionistic fuzzy set , Decision making , OWA , Induced aggregation operators , Distance measures
Derechos de uso: Cerrado
Fuente:
Journal of Intelligent & Fuzzy Systems. (issn: 1064-1246 )
DOI: 10.3233/JIFS-141219
Editorial:
IOS Press
Versión del editor: https://doi.org/10.3233/JIFS-141219
Código del Proyecto:
info:eu-repo/grantAgreement/Natural Science Foundation of Zhejiang Province//LQ14G010002
info:eu-repo/grantAgreement/NSFC//71571128/
info:eu-repo/grantAgreement/MOE//14YJC910006/
info:eu-repo/grantAgreement/Zhejiang Province Soft Science Fund//2015C35007/
info:eu-repo/grantAgreement/Natural Science Foundation of Ningbo//2015A610161/
Agradecimientos:
The authors would like to thank the Editors and anonymous reviewers for their helpful comments and suggestions. This paper is supported by the National Natural Science Foundation of China (No. 71571128), MOE Project of ...[+]
Tipo: Artículo

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