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Human-Centric Information Processing Through Granular Modelling

Overview of attention for book
Human-Centric Information Processing Through Granular Modelling
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Rough-Granular Computing in Human-Centric Information Processing
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    Chapter 2 Integrative Levels of Granularity
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    Chapter 3 Affinities between Perceptual Granules: Foundations and Perspectives
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    Chapter 4 Concept Granular Computing Based on Lattice Theoretic Setting
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    Chapter 5 Interpretability of Fuzzy Information Granules
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    Chapter 6 Semantic Driven Fuzzy Clustering for Human-Centric Information Processing Applications
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    Chapter 7 Many-Valued Logic Tools for Granular Modeling
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    Chapter 8 Type-2 Fuzzy Logic and the Modelling of Uncertainty in Applications
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    Chapter 9 Interval Type-2 Fuzzy Logic Applications
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    Chapter 10 Processing of Information Microgranules within an Individual’s Society
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    Chapter 11 Autonomous Composition of Fuzzy Granules in Ambient Intelligence Scenarios
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    Chapter 12 Information Processing in Biomedical Applications
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    Chapter 13 Gene Interactions Sub-networks and Soft Computing
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    Chapter 14 Uncertain Identification Problems in the Context of Granular Computing
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    Chapter 15 Visualizing Huge Image Databases by Formal Concept Analysis
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    Chapter 16 Artificial Dendritic Cells: Multi-faceted Perspectives
Attention for Chapter 7: Many-Valued Logic Tools for Granular Modeling
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Citations

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Chapter title
Many-Valued Logic Tools for Granular Modeling
Chapter number 7
Book title
Human-Centric Information Processing Through Granular Modelling
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-540-92916-1_7
Book ISBNs
978-3-54-092915-4, 978-3-54-092916-1
Authors

Siegfried Gottwald, Gottwald, Siegfried

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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