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

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Studies in Fuzziness and Soft Computing 408

ISBN: 3030722821
ISBN 13: 9783030722821
Autor: Dombi, József/Csiszár, Orsolya
Verlag: Springer Verlag GmbH
Umfang: xxi, 173 S., 6 s/w Illustr., 50 farbige Illustr., 173 p. 56 illus., 50 illus. in color.
Erscheinungsdatum: 29.04.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 5410885 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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