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Intelligent and fuzzy techniques for...
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Intelligent and fuzzy techniques for emerging conditions and digital transformation = proceedings of the INFUS 2021 Conference, held August 24-26, 2021.. Volume 1 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Intelligent and fuzzy techniques for emerging conditions and digital transformation/ edited by Cengiz Kahraman ... [et al.].
其他題名:
proceedings of the INFUS 2021 Conference, held August 24-26, 2021.
其他題名:
INFUS 2021
其他作者:
Kahraman, Cengiz.
團體作者:
INFUS (Conference)
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xviii, 954 p. :ill. (some col.), digital ;24 cm.
內容註:
Fuzzy Clustering -- A Digital Twin-based Approach for the Fault Diagnosis of a Bearing -- Fuzzy Cluster analysis of Claustrophobia questionnaire data in Iranian male and female educated populations -- Data Driven Approach to Order Picking Time Prediction Using Fuzzy Clustering and ANN -- A Comparative Analysis of Fuzzy C-Means, K-Means, and K-Medoids Clustering Algorithms for Analysis Countries' COVID-19 Risk -- Text Segmentation Using Light Syntax Parsing and Fuzzy Systems -- A Neighborhood Merging Policy Based on Shannon's Entropy and Symmetric Relative Entropy for Non-Convex Cluster Detection.
Contained By:
Springer Nature eBook
標題:
Data mining - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-85626-7
ISBN:
9783030856267
Intelligent and fuzzy techniques for emerging conditions and digital transformation = proceedings of the INFUS 2021 Conference, held August 24-26, 2021.. Volume 1 /
Intelligent and fuzzy techniques for emerging conditions and digital transformation
proceedings of the INFUS 2021 Conference, held August 24-26, 2021.Volume 1 /[electronic resource] :INFUS 2021edited by Cengiz Kahraman ... [et al.]. - Cham :Springer International Publishing :2022. - xviii, 954 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 3072367-3389 ;. - Lecture notes in networks and systems ;v. 307..
Fuzzy Clustering -- A Digital Twin-based Approach for the Fault Diagnosis of a Bearing -- Fuzzy Cluster analysis of Claustrophobia questionnaire data in Iranian male and female educated populations -- Data Driven Approach to Order Picking Time Prediction Using Fuzzy Clustering and ANN -- A Comparative Analysis of Fuzzy C-Means, K-Means, and K-Medoids Clustering Algorithms for Analysis Countries' COVID-19 Risk -- Text Segmentation Using Light Syntax Parsing and Fuzzy Systems -- A Neighborhood Merging Policy Based on Shannon's Entropy and Symmetric Relative Entropy for Non-Convex Cluster Detection.
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 and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
ISBN: 9783030856267
Standard No.: 10.1007/978-3-030-85626-7doiSubjects--Topical Terms:
551626
Data mining
--Congresses.
LC Class. No.: QA76.9.D343 / I54 2021
Dewey Class. No.: 006.312
Intelligent and fuzzy techniques for emerging conditions and digital transformation = proceedings of the INFUS 2021 Conference, held August 24-26, 2021.. Volume 1 /
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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 and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
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