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RELEASE iNFORMATiON
TiTLE : Handbook of Granular Computing
AUTHOR : Witold Pedrycz , Andrzej Skowron , Vladik Kreinovich
PUBLISHER : Wiley-Interscience
iSBN : 0470035544 MAKER : Team DDU
PAGES : 1148 Pages PACKAGER : Team DDU
EDiTiON : September 9, 2008 SUPPLiER : Team DDU
LANGUAGE : ENGLISH FORMAT : PDF
RLS DATE : 01/10/09 SiZE : 22.4 MB
RELEASE NOTES
[Product Information]
Although the notion is a relatively recent one, the notions and
principles of Granular Computing (GrC) have appeared in a different
guise in many related fields including granularity in Artificial
Intelligence, interval computing, cluster analysis, quotient space
theory and many others. Recent years have witnessed a renewed and
expanding interest in the topic as it begins to play a key role in
bioinformatics, e-commerce, machine learning, security, data mining
and wireless mobile computing when it comes to the issues of
effectiveness, robustness and uncertainty.
The Handbook of Granular Computing offers a comprehensive
reference source for the granular computing community, edited by
and with contributions from leading experts in the field.
--Includes chapters covering the foundations of granular
computing, interval analysis and fuzzy set theory; hybrid methods
and models of granular computing; and applications and case
studies.
--Divided into 5 sections: Preliminaries, Fundamentals,
Methodology and Algorithms, Development of Hybrid Models and
Applications and Case Studies.
--Presents the flow of ideas in a systematic, well-organized
manner, starting with the concepts and motivation and proceeding to
detailed design that materializes in specific algorithms,
applications and case studies.
--Provides the reader with a self-contained reference that
includes all pre-requisite knowledge, augmented with step-by-step
explanations of more advanced concepts.
The Handbook of Granular Computing represents a significant and
valuable contribution to the literature and will appeal to a broad
audience including researchers, students and practitioners in the
fields of Computational Intelligence, pattern recognition, fuzzy
sets and neural networks, system modelling, operations research and
bioinformatics.
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