Explainable neural networks based on fuzzy logic and multi-criteria decision tools / József Dombi, Orsolya Csiszár.

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Explainable neural networks based on fuzzy logic and multi-criteria decision tools / József Dombi, Orsolya Csiszár.

9783030722807 (electronic bk.)
3030722805 (electronic bk.)
3030722791
9783030722791

Cham, Switzerland : Springer, [2021]

©2021

English

1 online resource (xxi, 173 pages : illustrations (some color)).

10.1007/978-3-030-72280-7 doi

QA76.87 .D66 2021

006.3/2

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed May 7, 2021).

Studies in fuzziness and soft computing ; v. 408.

Print version: 9783030722791

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