Dissimilarity-Based Correlation of Movements and Events on Circular Scales of Space and Time

Ildar Batyrshin, Nailya Kubysheva, Valery Tarassov

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Circular scales appear in many applications related to a comparative analysis of the timing of events, wind directions, animals and vehicle movement directions, etc. The paper introduces a new non-statistical correlation function on circular scales based on a recently proposed approach to constructing correlation functions (association measures) using (dis)similarity measures on the set with an involutive operation. An involutive negation and a dissimilarity function satisfying required properties on a circular set are introduced and used for constructing the new correlation function. This correlation function can measure correlation both between two grades of circular scale and between sets of measurements of two circular variables.

Idioma originalInglés
Título de la publicación alojadaAdvances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings
EditoresLourdes Martínez-Villaseñor, Hiram Ponce, Oscar Herrera-Alcántara, Félix A. Castro-Espinoza
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas237-246
Número de páginas10
ISBN (versión impresa)9783030608866
DOI
EstadoPublicada - 2020
Evento19th Mexican International Conference on Artificial Intelligence, MICAI 2020 - Mexico City, México
Duración: 12 oct. 202017 oct. 2020

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12469 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia19th Mexican International Conference on Artificial Intelligence, MICAI 2020
País/TerritorioMéxico
CiudadMexico City
Período12/10/2017/10/20

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