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A compilation of modern decision-making techniques, this reference focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their extensive experience, the authors present methods and real-life applications of MADM techniques that can be used in decision analysis. The methods section of the text explains the the

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 authorsΓÇÖ Multiple Attribute Decision Making: Methods and Applications, this book guides practitioners in using MODM methods to make effective decisions. It also extends studentsΓÇÖ knowledge of the methods and provides researchers with the foundation to publish papers in operations research and management science journals.

Focusing on the methodologies and applications of the field, this book 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 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 compilation of modern decision-making techniques, this reference focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their extensive experience, the authors present methods and real-life applications of MADM techniques that can be used in decision analysis. The methods section of the text explains the theory of each method and includes numerical examples that can be calculated without a computer, providing a complete understanding of the procedures. The application section explores how methods such as DEMATEL, TOPSIS, and VIKOR can be used to solve real-world MADM problems.