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Fuzzy Multiple Objective Decision Making (Paperback)
Loot Price: R1,962
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Fuzzy Multiple Objective Decision Making (Paperback)
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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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