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020			_a9783030665012
024	7		_a10.1007/978-3-030-66501-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aHD30.23 _b2021 EB
245	0	0	_aProgress in Intelligent Decision Science : _bProceeding of IDS 2020 _cedited by Tofigh Allahviranloo, Soheil Salahshour, Nafiz Arica.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XI, 989 páginas) _b293 ilustraciones, 194 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1301
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aIdentification of Sport News in Turkish Tweets using Deep Learning Architectures -- Real-time News Grouping: Detecting the Same-content News on Turkish News Stream -- Statistical Analysis of Behavioural Intention Towards Private Umbilical Cord Blood Banking -- Improved Weighted Random Forest for Classification Problems -- A new Combination Method for Fuzzy Optimal Control -- Smart Room Temperature Controller IoT System -- Audio to Video: Generating a Talking Fake Agent -- Cluster-Based Monitoring and Location Estimation for Crowd Counting -- Genetic Algorithms and Neural Networks by Data Mining -- A new solution for the generalized shortest path problem -- An extension of DEMATEL under Pythagorean fuzzy environment -- Multi-Objective Genetic Algorithm and Interpolation Based Nonlinear Control Model -- The Design of a Novel Torque Wrench Based on TRIZ Decision Procedures -- Solving Linear Systems based on Z-numbers -- Z-numbers for uncertainty formulation.
520	3		_aThis book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9495511 _aDatos masivos
650		7	_2embne _aToma de decisiones _9141176
700	1		_aAllahviranloo, Tofigh _eeditor literario _0(orcid)0000-0002-6673-3560 _1https://orcid.org/0000-0002-6673-3560 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSalahshour, Soheil _eeditor literario _0(orcid)0000-0003-1390-3551 _1https://orcid.org/0000-0003-1390-3551 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aArica, Nafiz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030665005
776	0	8	_iPrinted edition: _z9783030665029
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-66501-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2021 _dz _eIG _zSI