Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
14.09.2008
Herausgeber
Witold Pedrycz + weitereVerlag
John Wiley & SonsSeitenzahl
1148 (Printausgabe)
Dateigröße
19605 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470724156
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.
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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