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Big Data and Information Theory are a binding force between various
areas of knowledge that allow for societal advancement. Rapid
development of data analytic and information theory allows
companies to store vast amounts of information about production,
inventory, service, and consumer activities. More powerful CPUs and
cloud computing make it possible to do complex optimization instead
of using heuristic algorithms, as well as instant rather than
offline decision-making. The era of "big data" challenges includes
analysis, capture, curation, search, sharing, storage, transfer,
visualization, and privacy violations. Big data calls for better
integration of optimization, statistics, and data mining. In
response to these challenges this book brings together leading
researchers and engineers to exchange and share their experiences
and research results about big data and information theory
applications in various areas. This book covers a broad range of
topics including statistics, data mining, data warehouse
implementation, engineering management in large-scale
infrastructure systems, data-driven sustainable supply chain
network, information technology service offshoring project issues,
online rumors governance, preliminary cost estimation, and
information system project selection. The chapters in this book
were originally published in the journal, International Journal of
Management Science and Engineering Management.
Among the various multi-level formulations of mathematical models
in decision making processes, this book focuses on the bi-level
model. Being the most frequently used, the bi-level model addresses
conflicts which exist in multi-level decision making processes.
From the perspective of bi-level structure and uncertainty, this
book takes real-life problems as the background, focuses on the
so-called random-like uncertainty, and develops the general
framework of random-like bi-level decision making problems. The
random-like uncertainty considered in this book includes random
phenomenon, random-overlapped random (Ra-Ra) phenomenon and
fuzzy-overlapped random (Ra-Fu) phenomenon. Basic theory, models,
algorithms and practical applications for different types of
random-like bi-level decision making problems are also presented in
this book.
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