Explainable Neural Networks Based On Fuzzy Logic And Multi-Criteria Decision Tools (Studies In Fuzziness And Soft Computing, 408) - 9783030722821

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.

• | Author: József Dombi|Orsolya Csiszár
• | Publisher: Springer
• | Publication Date: Apr 29, 2022
• | Number of Pages: 194 pages
• | Language: English
• | Binding: Paperback/Technology & Engineering
• | ISBN-10: 3030722821
• | ISBN-13: 9783030722821