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 purposes. construction on a prior monograph via Beliakov et al. released via Springer in 2007, it outlines new aggregation tools built in the mean time, with a different concentrate on the subject of averaging aggregation services. It examines fresh advances within the box, similar to aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends the various already present equipment, equivalent to: ordered weighted averaging (OWA), fuzzy integrals and blend capabilities. a considerable mathematical heritage isn't really referred to as for, as the entire proper mathematical notions are defined the following and stated on including a wealth of graphical illustrations of unique households of aggregation features. The authors quite often specialise in sensible functions and provides imperative significance to the conciseness of exposition, in addition to the relevance and applicability of the mentioned equipment, delivering a priceless source for machine scientists, IT experts, mathematicians, method architects, wisdom engineers and programmers, in addition to for someone dealing with the problem 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
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