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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools/ by József Dombi, Orsolya Csiszár.
作者:	Dombi, József.
其他作者:	Csiszár, Orsolya.
面頁冊數:	XXI, 173 p. 56 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Complexity. -
電子資源:	https://doi.org/10.1007/978-3-030-72280-7
ISBN:	9783030722807

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Dombi, József.

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools[electronic resource] /by József Dombi, Orsolya Csiszár. - 1st ed. 2021. - XXI, 173 p. 56 illus., 50 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,4081434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

Chapter 1: Connectives: Conjunctions, Disjunctions and Negations -- Chapter 2: Implications -- Chapter 3: Equivalences -- Chapter 4: Modiﬁers and Membership Functions in Fuzzy Sets -- Chapter 5: Aggregative Operators -- Chapter 6: Preference Operators.

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.

ISBN: 9783030722807

Standard No.: 10.1007/978-3-030-72280-7doiSubjects--Topical Terms:

669595
Complexity.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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