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