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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

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Cover of 'Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools'

Table of Contents

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    Book Overview
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    Chapter 1 Connectives: Conjunctions, Disjunctions and Negations
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    Chapter 2 Implications
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    Chapter 3 Equivalences
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    Chapter 4 Modifiers and Membership Functions in Fuzzy Sets
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    Chapter 5 Aggregative Operators
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    Chapter 6 Preference Operators
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    Chapter 7 Squashing Functions
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    Chapter 8 Learning Rules
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    Chapter 9 Interpretable Neural Networks Based on Continuous-Valued Logic and Multi-criteria Decision Operators
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    Chapter 10 Conclusions
Attention for Chapter 10: Conclusions
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