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A Practical Guide to Averaging Functions (Hardcover, 1st ed. 2016)
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A Practical Guide to Averaging Functions (Hardcover, 1st ed. 2016)
Series: Studies in Fuzziness and Soft Computing, 329
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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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