000			01987nam a2200265Ia 4500
003			OSt
005			20250801095918.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9783319047119
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aB217 Q4 _qCSL
100			_aXu, Zeshui _9817058
245		0	_aHesitant fuzzy sets theory _c/ by Zeshui Xu
260			_aNew York _bSpringer _c2014
300			_ax, 466p. _b: ill.
500			_aReferences 449-466p.
520			_aThis book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.
650			_a Hesitant preference relations _9817059
650			_a MADM models _9817060
650			_aOperational Research
942			_hB217 Q4 _cTEXL _2CC _n0
999			_c14673 _d14673