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Explainable AI and other applications of fuzzy techniquesproceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Explainable AI and other applications of fuzzy techniquesedited by Julia Rayz ... [et al.].
其他題名:	proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 /
其他題名:	NAFIPS 2021
其他作者:	Rayz, Julia.
團體作者:	North American Fuzzy Information Processing Society.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 506 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-3-030-82099-2
ISBN:	9783030820992$q(electronic bk.)

Explainable AI and other applications of fuzzy techniquesproceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 /
North American Fuzzy Information Processing Society.Conference(2021)

Explainable AI and other applications of fuzzy techniquesproceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 /[electronic resource] :NAFIPS 2021edited by Julia Rayz ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 506 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 2582367-3370 ;. - Lecture notes in networks and systems ;v.1..

This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI-in short, to anyone who is interested in problems involving fuzziness and AI in general.

ISBN: 9783030820992$q(electronic bk.)

Standard No.: 10.1007/978-3-030-82099-2doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334 / .N67 2021

Dewey Class. No.: 006.3

Explainable AI and other applications of fuzzy techniquesproceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 /
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