Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
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The work Linear and Multiobjective Programming with Fuzzy Stochastic Extensions represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
Resource Information
The work Linear and Multiobjective Programming with Fuzzy Stochastic Extensions represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
 Statement of responsibility
 by Masatoshi Sakawa, Hitoshi Yano, Ichiro Nishizaki
 Subject

 Distribution (Probability theory)
 Economics/Management Science
 Probability Theory and Stochastic Processes
 Operations Research, Management Science
 Economics
 Operations research
 Distribution (Probability theory)
 Economics
 Electronic resources
 Economics
 Operations research
 Operation Research/Decision Theory
 Distribution (Probability theory)
 Language
 eng
 Summary
 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 humancentered 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 twostage 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 selfcontained 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
 Image bit depth
 0
 LC call number
 HD30.23
 Literary form
 non fiction
 Series statement
 International Series in Operations Research & Management Science,
 Series volume
 203
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