Fundamentals of Statistics with Fuzzy Data

This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in bui...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Nguyen, Hung T. (Autor), Wu, Berlin (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Studies in Fuzziness and Soft Computing, 198
Temas:
Probabilities.
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Statistics .
Mathematics.
Probability Theory.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Applications of Mathematics.
Acceso en línea:Texto Completo
Descripción
Sumario:This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The monograph also aims at motivating statisticians to look at fuzzy statistics to enlarge the domain of applicability of statistics in general. HUNG T. NGUYEN is a professor of Mathematical Sciences at New Mexico State University, USA. BERLIN WU is a professor of Mathematical Sciences at National Chengchi University, Taipei, Taiwan.
Descripción Física:X, 196 p. online resource.
ISBN:9783540316978
ISSN:1860-0808 ;

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