Handbook of Granular Computing (eBook)

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.