Overview
Although 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.
Full Product Details
Author: Masatoshi Sakawa ,
Ichiro Nishizaki ,
Hideki Katagiri
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2011 ed.
Volume: 159
Dimensions:
Width: 15.50cm
, Height: 1.70cm
, Length: 23.50cm
Weight: 1.250kg
ISBN: 9781441984012
ISBN 10: 1441984011
Pages: 264
Publication Date: 09 February 2011
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Awaiting stock
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.
Reviews
From the book reviews: Drawing heavily on their own research, the authors summarize recent developments in the field of multiobjective optimization under fuzziness and randomness. ... The book may be useful for graduate and doctoral students in operations research. (Robert Fuller, Mathematical Reviews, March, 2015) This is an excellent textbook on fuzzy stochastic multiobjective programming. ... The book is beautifully written and inspiring as a source for further research. The style is clear and rigorous. I warmly recommend this book and also other publications of these authors. Everyone who is interested in optimization should be a acquainted with this work. (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1214, 2011)
From the reviews: This is an excellent textbook on fuzzy stochastic multiobjective programming. ... The book is beautifully written and inspiring as a source for further research. The style is clear and rigorous. I warmly recommend this book and also other publications of these authors. Everyone who is interested in optimization should be a acquainted with this work. (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1214, 2011)
From the book reviews: Drawing heavily on their own research, the authors summarize recent developments in the field of multiobjective optimization under fuzziness and randomness. ... The book may be useful for graduate and doctoral students in operations research. (Robert Fuller, Mathematical Reviews, March, 2015) This is an excellent textbook on fuzzy stochastic multiobjective programming. ... The book is beautifully written and inspiring as a source for further research. The style is clear and rigorous. I warmly recommend this book and also other publications of these authors. Everyone who is interested in optimization should be a acquainted with this work. (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1214, 2011)
