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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2016
Genre:	Wirtschaft / Recht
	B / Business and Management / Decision Making / Management & management techniques / Management decision making / Management science / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research, Management Science / Operations Research/Decision Theory / Probabilities / Probability & statistics / Probability Theory / Probability Theory and Stochastic Processes / Stochastics mehr...
ISBN:	9781489978554
EAN-Code:	9781489978554
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#203 - International Series in Operations Research & Management Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	5387 gr
Seiten:	339
Illustration:	XIII, 339 p. 59 illus., 21 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 ExcelSolver, one of the easiest ways to solve optimization problems, through the use of simple examples of linear and nonlinear programming.