Although the notion is a relatively recent one, the notions andprinciples of Granular Computing (GrC) have appeared in a differentguise in many related fields including granularity in ArtificialIntelligence, interval computing, cluster analysis, quotient spacetheory and many others. Recent years have witnessed a renewed andexpanding interest in the topic as it begins to play a key role inbioinformatics, e-commerce, machine learning, security, data miningand wireless mobile computing when it comes to the issues ofeffectiveness, robustness and uncertainty.
The Handbook of Granular Computing offers a comprehensivereference source for the granular computing community, edited byand with contributions from leading experts in thefield.
* Includes chapters covering the foundations of granularcomputing, interval analysis and fuzzy set theory; hybrid methodsand models of granular computing; and applications and casestudies.
* Divided into 5 sections: Preliminaries, Fundamentals,Methodology and Algorithms, Development of Hybrid Models andApplications and Case Studies.
* Presents the flow of ideas in a systematic, well-organizedmanner, starting with the concepts and motivation and proceeding todetailed design that materializes in specific algorithms,applications and case studies.
* Provides the reader with a self-contained reference thatincludes all pre-requisite knowledge, augmented with step-by-stepexplanations of more advanced concepts.
The Handbook of Granular Computing represents asignificant and valuable contribution to the literature and willappeal to a broad audience including researchers, students andpractitioners in the fields of Computational Intelligence, patternrecognition, fuzzy sets and neural networks, system modelling,operations research and bioinformatics.
Witold Pedrycz
Applied Mathematics in Science Computer Engineering Computertechnik Electrical & Electronics Engineering Elektrotechnik u. Elektronik Fuzzy Systems Fuzzy-Systeme Mathematics Mathematik Mathematik in den Naturwissenschaften