Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing, 408)
Part of:Studies in Fuzziness and Soft Computing (112 Books) | by:József Dombi and Orsolya Csiszár
Publisher Finelybook 出版社：Springer; 1st ed. 2021 edition (April 29, 2021)
pages 页数：194 pages
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.