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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

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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.

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.

Availability
Inventory Code Barcode Call Number Location Status
1908001553EB0002159006.32 Dom eCentral Library (OPAC)Available
Detail Information
Series Title
Studies in Fuzziness and Soft Computing
Call Number
006.32 Dom e
Publisher
Switzerland : Springer Cham.,
Collation
xxi, 173p.:Ill
Language
English
ISBN/ISSN
978-3-030-72280-7
Classification
006.32
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Machine Learning
Specific Detail Info
-
Statement of Responsibility
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No other version available

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