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This book aims to justify the use of fuzzy logic as a logic and as
an uncertainty theory in the decision-making context. It also
discusses the development of the TOPSIS method (Technique for Order
of Preference by Similarity to Ideal Solution) with related
examples and MATLAB codes. This is the first book devoted to TOPSIS
and its fuzzy versions. It presents the use of fuzzy logic as a
logic and as an uncertainty theory in the decision-making content
and discusses the development of the TOPSIS method in classical and
fuzzy context. The book justifies the use of fuzzy logic as an
uncertainty theory and provides illustrative examples for each
fuzzy TOPSIS extension, along with related MATLAB codes and case
studies. This book is for industrial engineers, operations research
engineers, systems engineers, and production engineers working in
the areas of decision analysis, multi-criteria decision making, and
multiple objective optimization.
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