Granular Computing
Synopsis
Granular Computing is an emerging conceptual and computing paradigm
of information processing. It has been motivated by the increasingly urgent need for
intelligent processing of large quantities of heterogeneous data into a humanly
manageable abstract knowledge.
By taking human knowledge generation as a basic reference,
granular computing offers a landmark change from the current
machine-centric to human-centric approach to information and knowledge.
The theoretical foundations of granular computing are exceptionally sound
and involve set theory (interval analysis), fuzzy sets, rough sets and
random sets linked together in a highly comprehensive treatment of this
emerging paradigm.
Granular Computing: An Introduction covers a full spectrum of
granular computing from the basic methodology through algorithms and
granular worlds, to a representative spectrum of applications. The book will
appeal to all who are developing intelligent systems, either working at the
methodological level or interested in detailed system realizations. The reader
is provided with the underlying material on granular computing, as well as
exposed to the current developments where it finds the most visible applications.
Furthermore, this book provides an extensive bibliography after each chapter - an
indespensable source od information to anyone seriously pursuing research in
this rapidly developing area.
Granular Computing: An Introduction is designed to meet the needs of a
professional audience composed of researchers and practitioners in industry
and graduate level students in computer science and engineering.
A book from Kluwer Academic Press
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