This mono graph is intended for an advanced undergraduate or graduate
course as weIl as for the researchers who want a compilation of
developments in this rapidly growing field of operations research. This
is a sequel to our previous work entitled "Multiple Objective Decision
Making--Methods and Applications: A State-of-the-Art Survey," (No. 164
of the Lecture Notes). The literature on methods and applications of
Multiple Attribute Decision Making (MADM) has been reviewed and
classified systematically. This study provides readers with a capsule
look into the existing methods, their char- acteristics, and
applicability to analysis of MADM problems. The basic MADM concepts are
defined and a standard notation is introduced in Part 11. Also
introduced are foundations such as models for MADM, trans- formation of
attributes, fuzzy decision rules, and methods for assessing weight. A
system of classifying seventeen major MADM methods is presented. These
methods have been proposed by researchers in diversified disciplines;
half of them are classical ones, but the other half have appeared
recently. The basic concept, the computational procedure, and the
characteristics of each of these methods are presented concisely in Part
111. The computational procedure of each method is illustrated by
solving a simple numerical example. Part IV of the survey deals with the
applications of these MADM methods.