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Titlebook: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation; Proceedings of the I Cengiz Kahraman,Selcuk Cebi,Irem

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發(fā)表于 2025-3-21 17:32:10 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
副標(biāo)題Proceedings of the I
編輯Cengiz Kahraman,Selcuk Cebi,Irem Ucal Sari
視頻videohttp://file.papertrans.cn/471/470212/470212.mp4
概述Presents recent research in intelligent and fuzzy techniques.Includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 20201 Conference held at Istanbul, Turkey.Presents interdisciplinary
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation; Proceedings of the I Cengiz Kahraman,Selcuk Cebi,Irem
描述.This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics andmetaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers..
出版日期Conference proceedings 2022
關(guān)鍵詞Intelligent Techniques; Fuzzy Techniques; Big Data Analytics; Decision Making; INFUS 2021
版次1
doihttps://doi.org/10.1007/978-3-030-85626-7
isbn_softcover978-3-030-85625-0
isbn_ebook978-3-030-85626-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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