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

Livre 174 sur 183: Studies in Fuzziness and Soft Computing

Dombi, J�zsef ; Csisz�r, Orsolya

9783030722791: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

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ISBN 10 : 3030722791 ISBN 13 : 9783030722791

Editeur : Springer Nature Switzerland AG, 2021

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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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer Nature Switzerland AG
Date d'�dition: 2021
Langue: anglais
ISBN 10: 3030722791
ISBN 13: 9783030722791
Reliure: Reli�
Nombre de pages: 194
Coordonn�es du fabricant: ProductSafety@springernature.com
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (eng)

Dombi, J�zsef

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing, 408)

Dombi, J�zsef; Csisz�r, Orsolya

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

Orsolya Csisz�r

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch. N� de r�f. du vendeur 9783030722791

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

J�zsef Dombi|Orsolya Csisz�r

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the current state-of-the-art in Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision ToolsPresents recent research focusing on a special class&nbspof continuous-valued logic and multi-criteria decision tools. N� de r�f. du vendeur 458553505

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing, 408) 1st ed. 2021 Edition

Dombi, J�zsef; Csisz�r, Orsolya

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ISBN 10 : 3030722791 ISBN 13 : 9783030722791

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

J�zsef Dombi

Edit� par Springer, Springer Apr 2021, 2021

ISBN 10 : 3030722791 ISBN 13 : 9783030722791

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. N� de r�f. du vendeur 9783030722791

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

Orsolya Csisz�r

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030722791 ISBN 13 : 9783030722791

Neuf Couverture rigide

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783030722791

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