By Gleb Beliakov,Humberto Bustince Sola,Tomasa Calvo
This booklet bargains 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 features for particular functions. construction on a prior monograph by way of Beliakov et al. released by way of Springer in 2007, it outlines new aggregation tools built in the meanwhile, with a distinct specialize in the subject of averaging aggregation services. It examines fresh advances within the box, resembling aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends a few of the already present tools, corresponding to: ordered weighted averaging (OWA), fuzzy integrals and combination services. a considerable mathematical historical past isn't known as for, as the entire proper mathematical notions are defined the following and said on including a wealth of graphical illustrations of certain households of aggregation features. The authors in general specialise in functional purposes and provides crucial value to the conciseness of exposition, in addition to the relevance and applicability of the pronounced tools, providing a precious source for computing device scientists, IT experts, mathematicians, process architects, wisdom engineers and programmers, in addition to for a person dealing with the difficulty of the way to mix quite a few inputs right into a unmarried output value.
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Extra info 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