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