Distances and Similarities in Intuitionistic Fuzzy Sets

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. dataÂ mining, machine learning, decision making, and control. The work provides readers...

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Detalles Bibliográficos
Autor principal:	Szmidt, Eulalia
Formato:	Libro electrónico
Lenguaje:	Inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Colección:	Studies in Fuzziness and Soft Computing, 307
Materias:	Operations research. Management science. Engineering. Computational Intelligence. Artificial Intelligence (incl. Robotics).
Acceso en línea:	http://dx.doi.org/10.1007/978-3-319-01640-5
Aporte de:	Registro referencial: Solicitar el recurso aquí Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata

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