Constructing non-statistical association measures on the sets with involution and similarity measure

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Resumen

The methods of construction of functions satisfying the properties similar to the properties of the Pearson's correlation coefficient are discussed. Such functions can be constructed on the sets with involution and similarity measure using pseudo-difference operations associated to t-conorms. The Pearson's correlation coefficient can be obtained as a particular case of the general approach using pseudo-difference operation associated to Lukasiewicz t-conorm and Euclidean metric. The association measures on [0,1], on the set of fuzzy sets, on the sets of n-tuples and time series are considered.

Idioma originalInglés
Título de la publicación alojadaCINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
EditoresAniko Szakal
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas23-28
Número de páginas6
ISBN (versión digital)9781467385206
DOI
EstadoPublicada - 13 ene. 2016
Evento16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015 - Budapest, Hungría
Duración: 19 nov. 201521 nov. 2015

Serie de la publicación

NombreCINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings

Conferencia

Conferencia16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015
País/TerritorioHungría
CiudadBudapest
Período19/11/1521/11/15

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