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A Handbook on Multi-Attribute Decision-Making Methods (Hardcover)
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A Handbook on Multi-Attribute Decision-Making Methods (Hardcover)
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Clear and effective instruction on MADM methods for students,
researchers, and practitioners. A Handbook on Multi-Attribute
Decision-Making Methods describes multi-attribute decision-making
(MADM) methods and provides step-by-step guidelines for applying
them. The authors describe the most important MADM methods and
provide an assessment of their performance in solving problems
across disciplines. After offering an overview of decision-making
and its fundamental concepts, this book covers 20 leading MADM
methods and contains an appendix on weight assignment methods.
Chapters are arranged with optimal learning in mind, so you can
easily engage with the content found in each chapter. Dedicated
readers may go through the entire book to gain a deep understanding
of MADM methods and their theoretical foundation, and others may
choose to review only specific chapters. Each standalone chapter
contains a brief description of prerequisite materials, methods,
and mathematical concepts needed to cover its content, so you will
not face any difficulty understanding single chapters. Each
chapter: Describes, step-by-step, a specific MADM method, or in
some cases a family of methods Contains a thorough literature
review for each MADM method, supported with numerous examples of
the method's implementation in various fields Provides a detailed
yet concise description of each method's theoretical foundation
Maps each method's philosophical basis to its corresponding
mathematical framework Demonstrates how to implement each MADM
method to real-world problems in a variety of disciplines In MADM
methods, stakeholders' objectives are expressible through a set of
often conflicting criteria, making this family of decision-making
approaches relevant to a wide range of situations. A Handbook on
Multi-Attribute Decision-Making Methods compiles and explains the
most important methodologies in a clear and systematic manner,
perfect for students and professionals whose work involves
operations research and decision making.
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