Intelligent and Fuzzy Systems: Artificial Intelligence in Human-Centric, Resilient & Sustainable Industries,...

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Cengiz Kahraman Selcuk Cebi

Intelligent and Fuzzy Systems

Artificial Intelligence in Human-Centric, Resilient & Sustainable Industries, Proceedings of...

Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi , Sezi Cevik Onar

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English

Springer International Publishing AG
29 July 2025

Databases; Artificial intelligence

Series: Lecture Notes in Networks and Systems

Artificial Intelligence in Human-Centric, Resilient & Sustainable Industries

This book focuses on benefiting artificial intelligent tools in our business and social life under emerging conditions. Human-centric, resilient, and sustainable industries are built on ideals like human-centricity, ecological advantages, or social benefits. The mission of human-centric artificial intelligence is to improve people’s lives by offering solutions that boost productivity, accessibility to resources, security, well-being, and general quality of life. The latest intelligent methods and techniques on human-centric, resilient, and sustainable industries are introduced by theory and applications. This book covers the chapters of world-wide known experts on machine learning, medical image processing, process intelligence, process mining, and others. The intended readers are intelligent systems researchers, lecturers, M.

Sc. and Ph.D. students trying to develop approaches giving human needs, values, and viewpoints top priority through artificial intelligent systems.

Edited by: Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi, Sezi Cevik Onar, Cagrı Tolga
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 1528
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031979842
ISBN 10: 3031979842
Series: Lecture Notes in Networks and Systems
Pages: 861
Publication Date: 29 July 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

Uncertainty Vagueness and Impreciseness.- Intelligent Systems.- Fuzzy Sets and Extensions.-Intuitionistic Fuzzy Sets.- Decomposed Fuzzy Sets.