By Gleb Beliakov,Humberto Bustince Sola,Tomasa Calvo
This booklet deals an easy-to-use and practice-oriented reference advisor to mathematical averages. It provides other ways of aggregating enter values given on a numerical scale, and of selecting and/or developing aggregating capabilities for particular functions. development on a prior monograph through Beliakov et al. released via Springer in 2007, it outlines new aggregation equipment built in the meanwhile, with a different specialise in the subject of averaging aggregation capabilities. It examines contemporary advances within the box, similar to aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends a few of the already current equipment, equivalent to: ordered weighted averaging (OWA), fuzzy integrals and combination capabilities. a considerable mathematical historical past isn't known as for, as all of the correct mathematical notions are defined right here and pronounced on including a wealth of graphical illustrations of specified households of aggregation capabilities. The authors customarily specialize in functional functions and provides valuable value to the conciseness of exposition, in addition to the relevance and applicability of the stated equipment, providing a invaluable source for laptop scientists, IT experts, mathematicians, process architects, wisdom engineers and programmers, in addition to for a person dealing with the difficulty of ways to mix quite a few inputs right into a unmarried output value.
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Extra resources for A Practical Guide to Averaging Functions (Studies in Fuzziness and Soft Computing)
A Practical Guide to Averaging Functions (Studies in Fuzziness and Soft Computing) by Gleb Beliakov,Humberto Bustince Sola,Tomasa Calvo