000			03430nam a22005655i 4500
001			978-3-319-24753-3
003			DE-He213
005			20180206183053.0
007			cr nn 008mamaa
008			151014s2016 gw | s |||| 0|eng d
020			_a9783319247533 _9978-3-319-24753-3
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aBeliakov, Gleb. _eauthor.
245	1	2	_aA Practical Guide to Averaging Functions _h[recurso electrónico] / _cby Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXIX, 352 p. 44 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v329
520			_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.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aOperations research.
650		0	_aManagement science.
650		0	_aComputational intelligence.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aMechatronics.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aOperations Research, Management Science.
700	1		_aBustince Sola, Humberto. _eauthor.
700	1		_aCalvo, Tomasa. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319247519
830		0	_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v329
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-24753-3
912			_aZDB-2-ENG
942			_cLIBRO_ELEC
999			_c227004 _d227004