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

Author:   József Dombi ,  Orsolya Csiszár
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   408
ISBN:  

9783030722821


Pages:   173
Publication Date:   29 April 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools


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Overview

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient.  Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

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Author:   József Dombi ,  Orsolya Csiszár
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   408
Weight:   0.308kg
ISBN:  

9783030722821


ISBN 10:   3030722821
Pages:   173
Publication Date:   29 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Connectives: Conjunctions, Disjunctions and Negations.- Chapter 2: Implications.- Chapter 3: Equivalences.- Chapter 4: Modifiers and Membership Functions in Fuzzy Sets.- Chapter 5: Aggregative Operators.- Chapter 6:  Preference Operators.

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