Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing)

Dombi, József; Csiszár, Orsolya

ISBN 10: 3030722821 / ISBN 13: 9783030722821

Published by Springer, 2022

About this Item

1st ed. 2021 edition NO-PA16APR2015-KAP.

Seller Inventory # 26394684264

Bibliographic Details

• Title: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing)
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030722821
• ISBN 13: 9783030722821
• Binding: Soft cover
• 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.