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Fuzzy Logic and Soft Computing Applications

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Cover of 'Fuzzy Logic and Soft Computing Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards a Framework for Singleton General Forms of Interval Type-2 Fuzzy Systems
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    Chapter 2 Algorithmic Developments of Information Granules of Higher Type and Higher Order and Their Applications
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    Chapter 3 Cardiovascular Disease Risk Assessment Using the Choquet Integral
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    Chapter 4 Fuzzy Transforms and Seasonal Time Series
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    Chapter 5 Improving Approximation Properties of Fuzzy Transform Through Non-uniform Partitions
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    Chapter 6 Defining the Fuzzy Transform on Radial Basis
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    Chapter 7 Reasoning with Information Granules to Support Situation Classification and Projection in SA
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    Chapter 8 Sequences of Orthopairs Given by Refinements of Coverings
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    Chapter 9 Minimally Many-Valued Extensions of the Monoidal t-Norm Based Logic MTL
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    Chapter 10 Feature Selection Through Composition of Rough–Fuzzy Sets
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    Chapter 11 A System for Fuzzy Granulation of OWL Ontologies
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    Chapter 12 Graded Possibilistic Clustering of Non-stationary Data Streams
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    Chapter 13 Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task
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    Chapter 14 Deep Learning Architectures for DNA Sequence Classification
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    Chapter 15 A Deep Learning Approach to Deal with Data Uncertainty in Sentiment Analysis
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    Chapter 16 Classification of Data Streams by Incremental Semi-supervised Fuzzy Clustering
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    Chapter 17 A Multi-criteria Decision Making Approach for the Assessment of Information Credibility in Social Media
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    Chapter 18 Fuzzy Consensus Model in Collective Knowledge Systems: An Application for Fighting Food Frauds
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    Chapter 19 Innovative Methods for the Development of a Notoriety System
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    Chapter 20 Rotation Clustering: A Consensus Clustering Approach to Cluster Gene Expression Data
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    Chapter 21 Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications
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    Chapter 22 Extraction of High Level Visual Features for the Automatic Recognition of UTIs
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    Chapter 23 Two-Tier Image Features Clustering for Iris Recognition on Mobile
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    Chapter 24 A Decision Support System for Non Profit Organizations
Attention for Chapter 23: Two-Tier Image Features Clustering for Iris Recognition on Mobile
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Chapter title
Two-Tier Image Features Clustering for Iris Recognition on Mobile
Chapter number 23
Book title
Fuzzy Logic and Soft Computing Applications
Published by
Springer International Publishing, December 2016
DOI 10.1007/978-3-319-52962-2_23
Book ISBNs
978-3-31-952961-5, 978-3-31-952962-2
Authors

Andrea F. Abate, Silvio Barra, Francesco D’Aniello, Fabio Narducci

Editors

Alfredo Petrosino, Vincenzo Loia, Witold Pedrycz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 18%
Unspecified 1 9%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Professor 1 9%
Other 2 18%
Unknown 3 27%
Readers by discipline Count As %
Engineering 2 18%
Nursing and Health Professions 1 9%
Unspecified 1 9%
Neuroscience 1 9%
Computer Science 1 9%
Other 0 0%
Unknown 5 45%