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Intelligent and Fuzzy Systems: Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 1: 758 1st ed. 2023 Edition
Author(s): Cengiz Kahraman (Editor), Irem Ucal Sari (Editor), Basar Oztaysi (Editor), Selcuk Cebi (Editor), Sezi Cevik Onar (Editor), A. Çağrı Tolga (Editor)
- Publisher: Springer
- Publication Date: 17 Aug. 2023
- Edition: 1st ed. 2023
- Language: English
- Print length: 850 pages
- ISBN-10: 3031397738
- ISBN-13: 9783031397738
Book Description
This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
Editorial Reviews
From the Back Cover
This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
