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

di József Dombi (Autore)

Orsolya Csiszár (Autore)

Springer Nature Switzerland AG, 2022

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.

• Autore: József Dombi, Orsolya Csiszár
• Editore: Springer Nature Switzerland AG
• Collana: Studies in Fuzziness and Soft Computing
• Anno: 2022
• Rilegatura: Paperback / softback
• Pagine: 173 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030722821

Testo in English