000 04249nam a22005055i 4500
001 978-1-4419-8402-9
003 DE-He213
005 20140220083728.0
007 cr nn 008mamaa
008 110201s2011 xxu| s |||| 0|eng d
020 _a9781441984029
_9978-1-4419-8402-9
024 7 _a10.1007/978-1-4419-8402-9
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aSakawa, Masatoshi.
_eauthor.
245 1 0 _aFuzzy Stochastic Multiobjective Programming
_h[electronic resource] /
_cby Masatoshi Sakawa, Ichiro Nishizaki, Hideki Katagiri.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXII, 264 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v159
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.
650 0 _aEconomics.
650 0 _aOperations research.
650 0 _aDistribution (Probability theory).
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aOperations Research, Mathematical Programming.
650 2 4 _aProbability Theory and Stochastic Processes.
700 1 _aNishizaki, Ichiro.
_eauthor.
700 1 _aKatagiri, Hideki.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441984012
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v159
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-8402-9
912 _aZDB-2-SBE
999 _c105988
_d105988