A Practical Guide to Averaging Functions: 329 (Studies in Fuzziness and Soft Computing, 329) - Tapa dura

Libro 98 de 183: Studies in Fuzziness and Soft Computing

Beliakov, Gleb; Bustince Sola, Humberto; Calvo, Tomasa

 
9783319247519: A Practical Guide to Averaging Functions: 329 (Studies in Fuzziness and Soft Computing, 329)
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ISBN 10: 3319247514 ISBN 13: 9783319247519
Editorial: Springer, 2015

Sinopsis

This book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.

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De la contraportada

This book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.

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Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319247514
ISBN 13 
9783319247519
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
374
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783319372075: A Practical Guide to Averaging Functions: 329 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3319372076 ISBN 13:  9783319372075
Editorial: Springer, 2016
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