Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
2021 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Fuzziness and Soft Computing
ISBN-10
3030722791
ISBN-13
9783030722791
Edition
2021 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 29th, 2021
Print length
173 Pages
Ksh 23,400.00
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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.
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.Get Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.
