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Author Tzeng, Gwo-Hshiung, author National Taipei University, Taiwan

Title Fuzzy Multiple Objective Decision Making / Gwo-Hshiung Tzeng, Jih-Jeng Huang
Edition 1st
Published Chapman and Hall/CRC, 2016
Online access available from:
ProQuest Ebook Central Subscription    View Resource Record  


Description 1 online resource (322 pages : 84 illustrations)
Summary Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into MOP models. Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making (MODM). The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM. A follow-up to the authors' Multiple Attribute Decision Making: Methods and Applications , this book guides practitioners in using MODM methods to make effective decisions. It also extends students' knowledge of the methods and provides researchers with the foundation to publish papers in operations research and management science journals
Notes Copyright © Chapman and Hall/CRC 2013 2013
Subject Fuzzy decision making.
Fuzzy sets.
Management science.
Multiple criteria decision making -- Mathematics
Multiple criteria decision making.
Fuzzy decision making.
Fuzzy sets.
Management science.
Multiple criteria decision making.
Form Electronic book
Author Huang, Jih-Jeng, author
ISBN 9781466554627