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001			85050
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007			cr nn 008mamaa
008			151014s2016 gw | s |||| 0|eng d
020			_a9783319247533
040			_aES-MaUEC
050		4	_aQ342 _b.B455 2016
082	0	4	_a006.3
100	1		_aBeliakov, Gleb _0Local _997722
245	1	2	_aA Practical Guide to Averaging Functions _cby Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo Sánchez
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIX, 352 páginas) _b44 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Fuzziness and Soft Computing _x1434-9922 _v329
520	3		_aThis book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
650	0	7	_aInvestigación operativa _0 _2embne _9138674
700	1		_aBustince Sola, Humberto _0Local _997723
700	1		_aCalvo Sánchez, Tomasa. _932412 _0comprobar BNE20011217348
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-24753-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319247533
907			_a.b12943289 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h2
945			_aQ342 .B455 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11587520 _z06-04-17
999			_c85050 _d85050 _x1