Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing, 408) 1st ed. 2021 Edition

Dombi, József; Csiszár, Orsolya

ISBN 10: 3030722791 / ISBN 13: 9783030722791

Published by Springer, 2021

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Bibliographic Details

• Title: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing, 408) 1st ed. 2021 Edition
• Publisher: Springer
• Publication Date: 2021
• Language: English
• ISBN 10: 3030722791
• ISBN 13: 9783030722791
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.