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Linear and Multiobjective Programming with Fuzzy Stochastic Extensions

Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
Kataloginformation
Feldname Details
Vorliegende Sprache eng
ISBN 978-1-4614-9398-3
Name Sakawa, Masatoshi
Yano, Hitoshi
Name ANZEIGE DER KETTE Yano, Hitoshi
Name Nishizaki, Ichirō
T I T E L Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
Verlagsort Boston, MA
Verlag Springer
Erscheinungsjahr 2013
2013
Umfang Online-Ressource (XIII, 339 p. 59 illus., 21 illus. in color, online resource)
Reihe International Series in Operations Research & Management Science ; 203
Titelhinweis Druckausg.ISBN: 978-146-149-398-3
ISBN ISBN 978-1-4614-9399-0
Klassifikation KJMD
*90C29
90C05
90C15
90C70
90C30
90-01
KJT
BUS049000
658.40301
HD30.23
Kurzbeschreibung Although 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
SWB-Titel-Idn 398203067
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-1-4614-9399-0
Internetseite / Link Volltext
Siehe auch Cover
Siehe auch Inhaltstext
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