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This monograph is intended for an advanced undergraduate or
graduate course as well as for researchers, who want a compilation
of developments in this rapidly growing field of operations
research. This is a sequel to our previous works: "Multiple
Objective Decision Making--Methods and Applications: A
state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple
Attribute Decision Making--Methods and Applications: A
State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group
Decision Making under Multiple Criteria--Methods and Applications"
(No.281 of the Lecture Notes). In this monograph, the literature on
methods of fuzzy Multiple Attribute Decision Making (MADM) has been
reviewed thoroughly and critically, and classified systematically.
This study provides readers with a capsule look into the existing
methods, their characteristics, and applicability to the analysis
of fuzzy MADM problems. The basic concepts and algorithms from the
classical MADM methods have been used in the development of the
fuzzy MADM methods. We give an overview of the classical MADM in
Chapter II. Chapter III presents the basic concepts and
mathematical operations of fuzzy set theory with simple numerical
examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM
methods basically consist of two phases: (1) the aggregation of the
performance scores with respect to all the attributes for each
alternative, and (2) the rank ordering of the alternatives
according to the aggregated scores.
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