Fuzzy Stochastic Multiobjective Programming / Edition 1

by Masatoshi Sakawa, Ichiro Nishizaki, Hideki Katagiri

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 shastic 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 shastic

objective functions and/or constraints in multiobjective problems, fuzzy multiobjective shastic

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.

Product Details

ISBN-13:	9781461428060
Publisher:	Springer New York
Publication date:	04/19/2013
Series:	International Series in Operations Research & Management Science , #159
Edition description:	2011
Pages:	264
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Chapter 1. Introduction and Historical Remarks.- Chapter 2. Fundamentals.- Chapter 3. Fuzzy Multiobjective Shastic Programming.- Chapter 4. Multiobjective Fuzzy Random Programming.- Chapter 5. Shastic and Fuzzy Random Two-Level Programming.- Chapter 6. Future Research Directions.

Editorial 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.” (Róbert Fullér, Mathematical Reviews, March, 2015)

“This is an excellent textbook on fuzzy shastic 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 Publisher