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

Dombi, József (Author)/ Csiszár, Orsolya (Author)

ISBN 10: 3030722791 / ISBN 13: 9783030722791

Editore: Springer, 2021

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194 pages. 9.25x6.10x0.67 inches. In Stock.

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Dati bibliografici

• Titolo: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030722791
• ISBN 13: 9783030722791
• Rilegatura: Hardcover
• Condizione: Brand New

Descrizione articolo

Riassunto

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.