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006			m o d
007			cr cnu|||unuuu
008			170531s2017 sz a o 000 0 eng d
020			_a3319513699
020			_a3319513702 _q(electronic bk.)
020			_a9783319513690
020			_a9783319513706 _q(electronic bk.)
020			_z9783319513690 _q(print)
040			_aGW5XE _cGW5XE _dYDX _dUAB _dESU _dAZU _dUPM _dOCLCF _dIOG _dCOO _dMERER _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQA9.64 _bM463 2017 EB
100	1		_aMendel, Jerry M., _d1938- _eautor
245	1	0	_aUncertain rule-based fuzzy systems : _bintroduction and new directions _cJerry M. Mendel.
250			_aSecond edition.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea (xxii, 684 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_aIntroduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
520	3		_aThe second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty -- i.e., "type-2" fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems - from type-1 to interval type-2 to general type-2 - in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties; Allows those already familiar with type-1 fuzzy sets and systems to rapidly come up to speed to type-2 fuzzy sets and systems; Features complete classroom material including end-of-chapter exercises, a solutions manual, and three case studies -- forecasting of time series to knowledge mining from surveys and PID control.
650		7	_aSistemas difusos _2embne _0(OCoLC)fst00936814 _0 _9152595
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-51370-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96095 _d96095 _x1