Human-Centric Information Processing Through Granular Modelling / Edition 1

Human-Centric Information Processing Through Granular Modelling / Edition 1

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Springer Berlin Heidelberg


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Human-Centric Information Processing Through Granular Modelling / Edition 1

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.

Product Details

ISBN-13: 9783642100925
Publisher: Springer Berlin Heidelberg
Publication date: 12/08/2010
Series: Studies in Computational Intelligence , #182
Edition description: Softcover reprint of hardcover 1st ed. 2009
Pages: 404
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

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 Modelling of Uncertainty in Applications.- Interval Type-2 Fuzzy Logic Applications.- Processing of Information Microgranules within an Individual’s Society.- Autonomous Composition of Fuzzy Granules in Ambient Intelligence Scenarios.- Information Processing in Biomedical Applications.- Gene Interactions Sub-networks and Soft Computing.- Uncertain Identification Problems in the Context of Granular Computing.- Visualizing Huge Image Databases by Formal Concept Analysis.- Artificial Dendritic Cells: Multi-faceted Perspectives.

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