This handbook is an endeavour to cover many current, relevant, and
essential topics related to decision sciences in a scientific
manner. Using this handbook, graduate students, researchers, as
well as practitioners from engineering, statistics, sociology,
economics, etc. will find a new and refreshing paradigm shift as to
how these topics can be put to use beneficially. Starting from the
basics to advanced concepts, authors hope to make the readers well
aware of the different theoretical and practical ideas, which are
the focus of study in decision sciences nowadays. It includes an
excellent bibliography/reference/journal list, information about a
variety of datasets, illustrated pseudo-codes, and discussion of
future trends in research. Covering topics ranging from
optimization, networks and games, multi-objective optimization,
inventory theory, statistical methods, artificial neural networks,
times series analysis, simulation modeling, decision support
system, data envelopment analysis, queueing theory, etc., this
reference book is an attempt to make this area more meaningful for
varied readers. Noteworthy features of this handbook are in-depth
coverage of different topics, solved practical examples, unique
datasets for a variety of examples in the areas of decision
sciences, in-depth analysis of problems through colored charts, 3D
diagrams, and discussions about software.
General
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