000 04317nam a22005055i 4500
001 978-1-4614-9399-0
003 DE-He213
005 20140220082833.0
007 cr nn 008mamaa
008 131128s2013 xxu| s |||| 0|eng d
020 _a9781461493990
_9978-1-4614-9399-0
024 7 _a10.1007/978-1-4614-9399-0
_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 _aLinear and Multiobjective Programming with Fuzzy Stochastic Extensions
_h[electronic resource] /
_cby Masatoshi Sakawa, Hitoshi Yano, Ichiro Nishizaki.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2013.
300 _aXIII, 339 p. 59 illus., 21 illus. in color.
_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 ;
_v203
505 0 _aIntroduction -- Linear Programming -- Multiobjective Linear Programming -- Fuzzy Linear Programming -- Stochastic Linear Programming -- Interactive Fuzzy Multiobjective Stochastic Linear Programming -- Purchase and Transportation Planning for Food Retailing -- Linear Algebra -- Nonlinear Programming -- Usage of Excel Solver.
520 _aAlthough several books or monographs on multiobjective optimization under uncertainty have been published, there seems to be no book which starts with an introductory chapter of linear programming and is designed to incorporate both fuzziness and randomness into multiobjective programming in a unified way. In this book, five major topics, linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, are presented in a comprehensive manner. Especially, the last four topics together comprise the main characteristics of this book, and special stress is placed on interactive decision making aspects of multiobjective programming for human-centered systems in most realistic situations under fuzziness and/or randomness. Organization of each chapter is briefly summarized as follows:  Chapter 2 is a concise and condensed description of the theory of linear programming and its algorithms. Chapter 3 discusses fundamental notions and methods of multiobjective linear programming and concludes with interactive multiobjective linear programming. In Chapter 4, starting with clear explanations of fuzzy linear programming and fuzzy multiobjective linear programming, interactive fuzzy multiobjective linear programming is presented. Chapter 5 gives detailed explanations of fundamental notions and methods of stochastic programming including two-stage programming and chance constrained programming.  Chapter 6 develops several interactive fuzzy programming approaches to multiobjective stochastic programming problems. Applications to purchase and transportation planning for food retailing are considered in Chapter 7. The book is self-contained because of the three appendices and answers to problems. Appendix A contains a brief summary of the topics from linear algebra. Pertinent results from nonlinear programming are summarized in Appendix B. Appendix C is a clear explanation of the Excel Solver, one of the easiest ways to solve optimization problems, through the use of simple examples of linear and nonlinear programming.
650 0 _aEconomics.
650 0 _aDistribution (Probability theory).
650 0 _aOperations research.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aProbability Theory and Stochastic Processes.
700 1 _aYano, Hitoshi.
_eauthor.
700 1 _aNishizaki, Ichiro.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461493983
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v203
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9399-0
912 _aZDB-2-SBE
999 _c96116
_d96116