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Intelligent and fuzzy systems = inte...

International Conference on Intelligent and Fuzzy Systems (2023 :)

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Intelligent and fuzzy systems = intelligence and sustainable future proceedings of the INFUS 2023 Conference.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent and fuzzy systems/ edited by Cengiz Kahraman ... [et al.].
Reminder of title:	intelligence and sustainable future proceedings of the INFUS 2023 Conference.
remainder title:	INFUS 2023
other author:	Kahraman, Cengiz.
corporate name:	International Conference on Intelligent and Fuzzy Systems
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xvii, 791 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Monitoring Sleep-Related Disorders Via Artificial Intelligence Methods -- The Present and Future Role of Artiﬁcial Intelligence in the Promotion of Sustainable Practices in the Construction Sector -- Honeywell Experion Hive As Breakthrough Approach In Control Systems Evolution -- Pathﬁnding with Dynamic Obstacles -- Application of Digital Twin technology for live Process Control System of industrial facility -- Level of Automation Assessment for Controlled-Environment Hydroponic Agriculture via Fuzzy MCDM Method -- Navigating the Ethics of the Metaverse: A Fuzzy Logic Approach to Decision-Making -- Investigation the activity of medical institutions for hospital care in Bulgaria with the InterCriteria Analysis Method -- On a Hybrid Intuitionistic Fuzzy Method for Breast Cancer Classiﬁcation -- Assessment of Cancer Detection from CT scan images using Hybrid Supervised Learning methods -- Unlocking Insights into Mental Health and Productivity in the Tech Industry through KDD and Data Visualization -- Prioritization of User Strategies for mHealthcare App Selection -- Fuzzy Numbers and Analysis of Radiological Images -- Analyzing and Responding to Google Maps Reviews with a Chatbot in Healthcare -- A Novel Decision-Making Framework Based on Interval-valued Pythagorean Fuzzy AHP & CODAS: An Application to Healthcare Supplier Selection.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-39777-6
ISBN:	9783031397776

Intelligent and fuzzy systems = intelligence and sustainable future proceedings of the INFUS 2023 Conference.. Volume 2 /
Intelligent and fuzzy systemsintelligence and sustainable future proceedings of the INFUS 2023 Conference.Volume 2 /[electronic resource] :INFUS 2023edited by Cengiz Kahraman ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xvii, 791 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,7592367-3389 ;. - Lecture notes in networks and systems ;759..

Monitoring Sleep-Related Disorders Via Artificial Intelligence Methods -- The Present and Future Role of Artiﬁcial Intelligence in the Promotion of Sustainable Practices in the Construction Sector -- Honeywell Experion Hive As Breakthrough Approach In Control Systems Evolution -- Pathﬁnding with Dynamic Obstacles -- Application of Digital Twin technology for live Process Control System of industrial facility -- Level of Automation Assessment for Controlled-Environment Hydroponic Agriculture via Fuzzy MCDM Method -- Navigating the Ethics of the Metaverse: A Fuzzy Logic Approach to Decision-Making -- Investigation the activity of medical institutions for hospital care in Bulgaria with the InterCriteria Analysis Method -- On a Hybrid Intuitionistic Fuzzy Method for Breast Cancer Classiﬁcation -- Assessment of Cancer Detection from CT scan images using Hybrid Supervised Learning methods -- Unlocking Insights into Mental Health and Productivity in the Tech Industry through KDD and Data Visualization -- Prioritization of User Strategies for mHealthcare App Selection -- Fuzzy Numbers and Analysis of Radiological Images -- Analyzing and Responding to Google Maps Reviews with a Chatbot in Healthcare -- A Novel Decision-Making Framework Based on Interval-valued Pythagorean Fuzzy AHP & CODAS: An Application to Healthcare Supplier Selection.

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.

ISBN: 9783031397776

Standard No.: 10.1007/978-3-031-39777-6doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / I58 2023

Dewey Class. No.: 006.312

Intelligent and fuzzy systems = intelligence and sustainable future proceedings of the INFUS 2023 Conference.. Volume 2 /
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520 $a 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.
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