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008			211026s2021 sz | s |||| 0|eng d
020			_a9783030738198
024	7		_a10.1007/978-3-030-73819-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2021 EB
245	1	0	_aComputational Intelligence for Business Analytics _cedited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (IX, 423 páginas) _b147 ilustraciones, 92 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v953
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aMulti-criteria method for evaluating the impact of informal trade on the Mariscal de Puyo market -- Multicriteria Analysis for LPWAN selection for Industry 4.0 based on TOPSIS and a model of Proportionality -- Comprehensive Minimum Cost Models Based on Consensus Measures -- Strategies for the Development and Success of Women Entrepreneurs through SWOT Analysis and Compensatory Fuzzy Logic -- Fuzzy logic-based approaches in supply chain risk management: a review.
520	3		_aCorporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments. Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aPedrycz, Witold _d1953- _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _967495
700			_aMartínez, Luis _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681837
700	1		_aEspin Andrade, Rafael Alejandro _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681834
700			_aRivera, Gilberto _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681835
700	1		_aGómez, Jorge Marx _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681836
776	0	8	_iPrinted edition: _z9783030738181
776	0	8	_iPrinted edition: _z9783030738204
776	0	8	_iPrinted edition: _z9783030738211
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-73819-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE