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A practical guide to averaging functions

Beliakov, Gleb.

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A practical guide to averaging functions

Record Type:	Electronic resources : Monograph/item
Title/Author:	A practical guide to averaging functions/ by Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo Sanchez.
Author:	Beliakov, Gleb.
other author:	Bustince Sola, Humberto.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xix, 352 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Artificial Intelligence (incl. Robotics) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-24753-3
ISBN:	9783319247533$q(electronic bk.)

A practical guide to averaging functions
Beliakov, Gleb.

A practical guide to averaging functions[electronic resource] /by Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo Sanchez. - Cham :Springer International Publishing :2016. - xix, 352 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3291434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

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.

ISBN: 9783319247533$q(electronic bk.)

Standard No.: 10.1007/978-3-319-24753-3doiSubjects--Topical Terms:

890894
Artificial Intelligence (incl. Robotics)

LC Class. No.: Q342

Dewey Class. No.: 006.3

A practical guide to averaging functions
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100 1 $a Beliakov, Gleb. $3 1532768
245 1 2 $a A practical guide to averaging functions $h [electronic resource] / $c by Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo Sanchez.
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300 $a xix, 352 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.329
520 $a 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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