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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