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Human-Centric Information Processing Through Granular Modelling

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Human-Centric Information Processing Through Granular Modelling
Edited by: Andrzej Bargiela ; Witold Pedrycz

Format: Hardback   Published: 26 February 2009, Berlin, Heidelberg
ISBN-13: 9783540929154   ISBN-10: 3540929150

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Short description for Human-Centric Information Processing Through Granular Modelling

This down to earth volume documents the milestone contributions to human-centric information processing research. It contains the latest research in Granular Computing (GC), and provides carefully structured and organized illustrative material.

 

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Details for Human-Centric Information Processing Through Granular Modelling

Audience: Research, Professional and scholarly

Other Subjects:

Publisher: SPVB  Imprint: Springer

Series: Studies in Computational Intelligence, Issue No. 182

Pages: 450  Weight: 1.66 kg  Dimensions: 155 x 235 mm


Description for Human-Centric Information Processing Through Granular Modelling

The idea of Human-Centric Information Processing was prompted by the pioneering work of Zadeh Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic (1997). Since the publication of this work, a large number of researchers have focused on identifying the nature of information granulation and its specific relationship to human information processing. We now begin to witness the rich and manifold results of this concentrated research effort of the last decade. This volume is intended to document the milestone contributions to human-centric information processing research and to demonstrate the emerging computational methods and the processing environments that arose from these research insights. The chapters, written by experts in the field, cover the fundamental methodologies, the new information processing paradigm, functional architectures of granular information processing and granular modeling applications. The book provides a valuable reference for researchers, graduate students intending to focus on particular aspects of human-centric information processing from a broadly informed perspective and for practitioners to whom the breadth of coverage of topics will help inspire innovative applications.

Features

Contains the latest research in the rapidly growing interest in the area of Granular Computing (GC) Systematic exposure of the concepts, design methodology, and detailed algorithms Carefully structured and organized illustrative material Self-contained book , down to earth presentation of the material

Table of Contents for Human-Centric Information Processing Through Granular Modelling

Rough-Granular Computing in Human-Centric Information Processing.- Integrative Levels of Granularity.- Affinities Between Perceptual Granules: Foundations and Perspectives.- Concept Granular Computing based on Lattice Theoretic Setting.- Interpretability of Fuzzy Information Granules.- Semantic Driven Fuzzy Clustering for Human-Centric Information Processing Applications.- Many-Valued Logic Tools for Granular Modeling.- Type-2 Fuzzy Logic and the Modeling of Uncertainty in Applications.- Interval Type-2 Fuzzy Logic Applications.- Processing of Information Microgranules within an Individuals’ Society.- Autonomous Composition of Fuzzy Granules in Ambient Intelligence Scenarios.- Information Processing in Biomedical Applications.- Reconstructing Gene Interactions.- Uncertain Identification Problems in the Context of Granular Computing.- Visualizing Huge Image Databases by Formal Concept Analysis.- Artificial Dendritic Cells: Multi-Faceted Perspectives.

Back Cover Text

The idea of Human-Centric Information Processing was prompted by the pioneering work of Zadeh Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic (1997). Since the publication of this work, a large number of researchers have focused on identifying the nature of information granulation and its specific relationship to human information processing. We now begin to witness the rich and manifold results of this concentrated research effort of the last decade. This volume is intended to document the milestone contributions to human-centric information processing research and to demonstrate the emerging computational methods and the processing environments that arose from these research insights. The chapters, written by experts in the field, cover the fundamental methodologies, the new information processing paradigm, functional architectures of granular information processing and granular modeling applications. The book provides a valuable reference for researchers, graduate students intending to focus on particular aspects of human-centric information processing from a broadly informed perspective and for practitioners to whom the breadth of coverage of topics will help inspire innovative applications.

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