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Granular Computing and Intelligent Systems - Design with Information Granules of Higher Order and Higher Type (Hardcover, 2011 ed.)
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Granular Computing and Intelligent Systems - Design with Information Granules of Higher Order and Higher Type (Hardcover, 2011 ed.)
Series: Intelligent Systems Reference Library, 13
Expected to ship within 10 - 15 working days
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Information granules are fundamental conceptual entities
facilitating perception of complex phenomena and contributing to
the enhancement of human centricity in intelligent systems. The
formal frameworks of information granules and information
granulation comprise fuzzy sets, interval analysis, probability,
rough sets, and shadowed sets, to name only a few representatives.
Among current developments of Granular Computing, interesting
options concern information granules of higher order and of higher
type. The higher order information granularity is concerned with an
effective formation of information granules over the space being
originally constructed by information granules of lower order. This
construct is directly associated with the concept of hierarchy of
systems composed of successive processing layers characterized by
the increasing levels of abstraction. This idea of layered,
hierarchical realization of models of complex systems has gained a
significant level of visibility in fuzzy modeling with the
well-established concept of hierarchical fuzzy models where one
strives to achieve a sound tradeoff between accuracy and a level of
detail captured by the model and its level of interpretability.
Higher type information granules emerge when the information
granules themselves cannot be fully characterized in a purely
numerical fashion but instead it becomes convenient to exploit
their realization in the form of other types of information
granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or
probabilistic fuzzy sets. Higher order and higher type of
information granules constitute the focus of the studies on
Granular Computing presented in this study. The book elaborates on
sound methodologies of Granular Computing, algorithmic pursuits and
an array of diverse applications and case studies in environmental
studies, option price forecasting, and power engineering.
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