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008			211204s2021 si | s |||| 0|eng d
020			_a9789811673016
024	7		_a10.1007/978-981-16-7301-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA248.5 _b2021 EB
100	1		_aFarhadinia, Bahram _9682238
245	1	0	_aHesitant Fuzzy Set : _bTheory and Extension _cby Bahram Farhadinia.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publising _c2021
300			_a1 recurso en línea (XVII, 151 páginas) _b1 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputational Intelligence Methods and Applications _x2510-1773
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aChapter 1: Hesitant Fuzzy Set -- Chapter 2: Hesitant Fuzzy Linguistic Term Set -- Chapter 3: Neutrosophic Hesitant Fuzzy Set -- Chapter 4: Pythagorean Hesitant Fuzzy Set -- Chapter 5: q-Rung Orthopair Hesitant Fuzzy Set -- Chapter 6: Probabilistic Hesitant Fuzzy Set -- Chapter 7: Type 2 Hesitant Fuzzy Set -- Chapter 8: Hesitant Bipolar Fuzzy Set -- Chapter 9: Cubic Hesitant Fuzzy Set -- Chapter 10: Complex Hesitant Fuzzy Set -- Chapter 11: Picture Hesitant Fuzzy Set -- Chapter 12: Spherical Hesitant Fuzzy Set.
520	3		_aCovering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the topic. In the case where different sources of vagueness appear simultaneously, the concept of fuzzy set is not able to properly model the uncertainty, imprecise and vague information. In order to overcome such a limitation, different types of fuzzy extension have been introduced so far. Among them, hesitant fuzzy set was first introduced in 2010, and the existing extensions of hesitant fuzzy set have been encountering an increasing interest and attracting more and more attentions up to now. It is not an exaggeration to say that the recent decade has seen the blossoming of a larger set of techniques and theoretical outcomes for hesitant fuzzy set together with its extensions as well as applications. As the research has moved beyond its infancy, and now it is entering a maturing phase with increased numbers and types of extensions, this book aims to give a comprehensive review of such researches. Presenting the review of many and important types of hesitant fuzzy extensions, and including references to a large number of related publications, this book will serve as a useful reference book for researchers in this field.
988			_aSpringer_Computer_2021
650		7	_2embne _9145903 _aConjuntos difusos
776	0	8	_iPrinted edition: _z9789811673009
776	0	8	_iPrinted edition _z9789811673023
776	0	8	_iPrinted edition _z9789811673030
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-7301-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eh _zSI