Description: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools, Hardcover by Dombi, Jo´zsef; Csiszár, Orsolya, ISBN 3030722791, ISBN-13 9783030722791, Like New Used, Free shipping in the US 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-criter
Number of Pages: Xxi, 173 Pages
Language: English
Publication Name: Explainable Neural Networks Based on Fuzzy Logic and Multi-Criteria Decision Tools
Publisher: Springer International Publishing A&G
Publication Year: 2021
Subject: Engineering (General), Intelligence (Ai) & Semantics, System Theory
Type: Textbook
Item Weight: 16.4 Oz
Subject Area: Computers, Technology & Engineering, Science
Item Length: 9.3 in
Author: József Dombi, Orsolya Csiszár
Series: Studies in Fuzziness and Soft Computing Ser.
Item Width: 6.1 in
Format: Hardcover
