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Fuzzy Multiple Objective Decision Making



Fuzzy Multiple Objective Decision Making is a book that discusses the use of multi-objective programming (MOP) in decision making. MOP allows for the optimization of multiple objectives in mathematical programming models, but it can be complicated due to the issue of Pareto solutions. To address this, the book explores the incorporation of fuzzy sets and evolutionary algorithms into MOP models. Th... more details
Key Features:
  • Discusses the use of multi-objective programming (MOP) in decision making
  • Explores the incorporation of fuzzy sets and evolutionary algorithms into MOP models
  • Covers methods for calculating solutions in multiple objective decision making (MODM)


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Features
Manufacturer CRC Press Inc
Description
Fuzzy Multiple Objective Decision Making is a book that discusses the use of multi-objective programming (MOP) in decision making. MOP allows for the optimization of multiple objectives in mathematical programming models, but it can be complicated due to the issue of Pareto solutions. To address this, the book explores the incorporation of fuzzy sets and evolutionary algorithms into MOP models. The first part of the book covers the methods used to calculate solutions in multiple objective decision making (MODM), including multi-objective evolutionary algorithms, de novo programming, and network data envelopment analysis. The second part focuses on practical applications of MODM, providing readers with a deeper understanding of the topic. This book is a follow-up to the authors' previous book on multiple attribute decision making and is intended for practitioners, students, and researchers in the field of operations research and management science.

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.
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