Overview

Granular computing is an emerging conceptual and computing paradigm of information processing. It has been motivated by the urgent need for intelligent processing of empirical data that is now commonly available in vast quantities, into a humanly manageable abstract knowledge. In this sense, granular computing offers a landmark change from the current machine-centric to human-centric approach to information and knowledge. The theoretical foundations of granular computing are exceptionally sound and involve set theory (interval mathematics), fuzzy sets, rough sets, and random sets linked together in a highly comprehensive treatment of this emerging paradigm. This text covers the full spectrum of granular computing from the basic methodology through algorithms and granular worlds, to a representative spectrum of applications.

Full Product Details

Author:   Andrzej Bargiela ,  Witold Pedrycz
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2003 ed.
Volume:   717
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   1.870kg
ISBN:  

9781402072734

ISBN 10:   1402072732
Pages:   452
Publication Date:   30 November 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

I - Methodology and Mathematical Framework.- 1 Granular Computing as an Emerging Prardigm of Information Processing.- 2 Sets and Intervals.- 3 Fuzzy Sets.- 4 Rough Sets.- 5 Generalisations of Information Granules.- II — Algorithms of Information Granulation.- 6 From Numbers to Information Granules.- 7 Recursive Information Granulation.- 8 Granular Prototyping in Fuzzy Clustering.- 9 Logic-Based Fuzzy Clustering.- 10 Semantical Stability of Information Granules.- III — Granular World Communications.- 11 Communications Between Granular Worlds: Fundamentals.- 12 Networking of Granular Worlds: Collaborative Clustering.- 13 Directional Models of Granular Communication.- 14 Intelligent Agents and Granular Worlds.- 15 Self-Organising Maps in the Design and Processing of Granular Information.- 16 Temporal Granulation and Signal Analysis.- 17 — Granular Data Compression.- 18 Interval State Estimation in Systems Modelling.- Epilogue.

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