Perception based time series data mining for decision making

Ildar Batyrshin, Leonid Sheremetov

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

4 Citas (Scopus)

Resumen

In this paper, several aspects of perception based time series data mining based on the methodology of computing with words and perceptions are discusses. First, we consider possible approaches to precisiate perception based patterns in time series data bases and types of fuzzy constraints used in such precisiation. Next, several types of associations in time series data bases and the possible approaches to convert these associations in generalized constraint rules are discussed. Finally, we summarize the methods of translation of expert knowledge and retranslation of solutions.

Idioma originalInglés
Título de la publicación alojadaTheoretical Advances and Applications of Fuzzy Logic and Soft Computing
EditoresOscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepulveda Cruz, Witold Pedrycz, Janusz Kacprzyk
Páginas209-219
Número de páginas11
DOI
EstadoPublicada - 2007
Publicado de forma externa

Serie de la publicación

NombreAdvances in Soft Computing
Volumen42
ISSN (versión impresa)1615-3871
ISSN (versión digital)1860-0794

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