By Gleb Beliakov,Humberto Bustince Sola,Tomasa Calvo
This ebook bargains an easy-to-use and practice-oriented reference consultant to mathematical averages. It provides other ways of aggregating enter values given on a numerical scale, and of selecting and/or developing aggregating services for particular functions. construction on a prior monograph by way of Beliakov et al. released via Springer in 2007, it outlines new aggregation tools constructed in the intervening time, with a distinct specialize in the subject of averaging aggregation features. It examines fresh 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 heritage isn't really referred to as for, as all of the correct mathematical notions are defined right here and suggested on including a wealth of graphical illustrations of particular households of aggregation services. The authors frequently specialise in functional purposes and provides critical value to the conciseness of exposition, in addition to the relevance and applicability of the said equipment, delivering a important source for laptop scientists, IT experts, mathematicians, process architects, wisdom engineers and programmers, in addition to for someone 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