000			04034nam a22003975i 4500
001			287296
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2011 xxu| o |||| 0|eng d
020			_a9781441984029 _99781441984029
024	7		_a10.1007/9781441984029 _2doi
035			_avtls000339230
039		9	_a201509030837 _bVLOAD _c201404300357 _dVLOAD _y201402060930 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aHD30.23
100	1		_aSakawa, Masatoshi. _eautor _9314801
245	1	0	_aFuzzy Stochastic Multiobjective Programming / _cby Masatoshi Sakawa, Ichiro Nishizaki, Hideki Katagiri.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_axii, 264 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v159
500			_aSpringer eBooks
505	0		_aChapter 1. Introduction and Historical Remarks -- Chapter 2. Fundamentals -- Chapter 3. Fuzzy Multiobjective Stochastic Programming -- Chapter 4. Multiobjective Fuzzy Random Programming -- Chapter 5. Stochastic and Fuzzy Random Two-Level Programming -- Chapter 6. Future Research Directions.
520			_aAlthough studies on multiobjective mathematical programming under uncertainty have been accumulated and several books on multiobjective mathematical programming under uncertainty have been published (e.g., Stancu-Minasian (1984); Slowinski and Teghem (1990); Sakawa (1993); Lai and Hwang (1994); Sakawa (2000)), there seems to be no book which concerns both randomness of events related to environments and fuzziness of human judgments simultaneously in multiobjective decision making problems. In this book, the authors are concerned with introducing the latest advances in the field of multiobjective optimization under both fuzziness and randomness on the basis of the authors’ continuing research works. Special stress is placed on interactive decision making aspects of fuzzy stochastic multiobjective programming for human-centered systems under uncertainty in most realistic situations when dealing with both fuzziness and randomness. Organization of each chapter is briefly summarized as follows: Chapter 2 is devoted to mathematical preliminaries, which will be used throughout the remainder of the book. Starting with basic notions and methods of multiobjective programming, interactive fuzzy multiobjective programming as well as fuzzy multiobjective programming is outlined. In Chapter 3, by considering the imprecision of decision maker’s (DM’s) judgment for stochastic objective functions and/or constraints in multiobjective problems, fuzzy multiobjective stochastic programming is developed. In Chapter 4, through the consideration of not only the randomness of parameters involved in objective functions and/or constraints but also the experts’ ambiguous understanding of the realized values of the random parameters, multiobjective programming problems with fuzzy random variables are formulated. In Chapter 5, for resolving conflict of decision making problems in hierarchical managerial or public organizations where there exist two DMs who have different priorities in making decisions, two-level programming problems are discussed. Finally, Chapter 6 outlines some future research directions.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aNishizaki, Ichiro. _eautor _9314800
700	1		_aKatagiri, Hideki. _eautor _9316407
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441984012
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-8402-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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