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.
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