Description: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Jozsef Dombi, Orsolya Csiszar Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030722791, 978-3030722791 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.
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Book Title: Explainable Neural Networks Based on Fuzzy Logic and Multi-cri...
Number of Pages: 173 Pages
Language: English
Publication Name: Explainable Neural Networks Based on Fuzzy Logic and Multi-Criteria Decision Tools
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Computer Science
Item Height: 235 mm
Item Weight: 465 g
Type: Textbook
Author: Jozsef Dombi, Orsolya Csiszar
Series: Studies in Fuzziness and Soft Computing
Item Width: 155 mm
Format: Hardcover
