By Gleb Beliakov,Humberto Bustince Sola,Tomasa Calvo
This publication 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 capabilities for particular functions. development on a prior monograph through Beliakov et al. released by way of Springer in 2007, it outlines new aggregation tools built for the time being, with a distinct specialize in the subject of averaging aggregation capabilities. It examines fresh advances within the box, reminiscent of aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends a number of the already latest equipment, reminiscent of: ordered weighted averaging (OWA), fuzzy integrals and blend features. a considerable mathematical history isn't known as for, as all of the suitable mathematical notions are defined the following and suggested on including a wealth of graphical illustrations of particular households of aggregation capabilities. The authors as a rule specialise in functional functions and provides vital significance to the conciseness of exposition, in addition to the relevance and applicability of the mentioned equipment, delivering a invaluable source for desktop scientists, IT experts, mathematicians, method architects, wisdom engineers and programmers, in addition to for somebody dealing with the problem of ways to mix quite a few inputs right into a unmarried output value.
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Additional 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