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Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing

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Cover of 'Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 From Multi-valued Logics to Fuzzy Logic
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    Chapter 2 A Dialogue Concerning Contradiction and Reasoning
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    Chapter 3 Some Entertainments Dealing with Three Valued Logic
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    Chapter 4 Fuzziness as an Experimental Science: An Homage to Claudio Moraga
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    Chapter 5 Some Reflections on the Use of Interval Fuzzy Sets for Dealing with Fuzzy Deformable Prototypes
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    Chapter 6 The Way to the BliZ
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    Chapter 7 Milestones of Information Technology—A Survey
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    Chapter 8 On the Ability of Automatic Generation Control to Manage Critical Situations in Power Systems with Participation of Wind Power Plants Parks
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    Chapter 9 The Reed-Muller-Fourier Transform—Computing Methods and Factorizations
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    Chapter 10 Multiple-Valued Logic and Complex-Valued Neural Networks
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    Chapter 11 Sequential Bayesian Estimation of Recurrent Neural Networks
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    Chapter 12 Class-Memory Automata Revisited
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    Chapter 13 Ensemble Methods for Time Series Forecasting
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    Chapter 14 A Hierarchical Distributed Linear Evolutionary System for the Synthesis of 4-bit Reversible Circuits
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    Chapter 15 From Boolean to Multi-valued Bent Functions
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    Chapter 16 Claudio Moraga and the University of Santiago de Compostela: Many Years of Collaboration
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    Chapter 17 Using Background Knowledge for AGM Belief Revision
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    Chapter 18 Associative Globally Monotone Extended Aggregation Functions
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    Chapter 19 Distributed Machine Learning with Context-Awareness for the Regression Task
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    Chapter 20 Recent Advances in High-Dimensional Clustering for Text Data
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    Chapter 21 From Lisp to FuzzyLisp
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Title
Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-48317-7
ISBNs
978-3-31-948316-0, 978-3-31-948317-7
Editors

Rudolf Seising, Héctor Allende-Cid

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Master 2 29%
Student > Doctoral Student 1 14%
Professor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Economics, Econometrics and Finance 1 14%
Engineering 1 14%
Unknown 1 14%