Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Author | : József Dombi |
Publisher | : Springer Nature |
Total Pages | : 186 |
Release | : 2021-04-28 |
ISBN-10 | : 9783030722807 |
ISBN-13 | : 3030722805 |
Rating | : 4/5 (07 Downloads) |
Book excerpt: 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.