Intelligent and fuzzy techniques for emerging conditions and digital transformation : Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 1 / Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari, editors.
2022
QA76.9.D343
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Title
Intelligent and fuzzy techniques for emerging conditions and digital transformation : Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 1 / Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari, editors.
Meeting Name
INFUS (Conference) (2021 : Istanbul, Turkey)
ISBN
9783030856267 (electronic bk.)
3030856267 (electronic bk.)
9783030856250 (print)
3030856267 (electronic bk.)
9783030856250 (print)
Published
Cham, Switzerland : Springer, [2022]
Language
English
Description
1 online resource (xviii, 954 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-85626-7 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
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.
Note
Includes author index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 2, 2021).
Added Author
Kahraman, Cengiz, editor.
Cebi, Selcuk, editor.
Cevik Onar, Sezi, editor.
Öztayşi, Bașar, editor.
Tolga, A. Cagri, editor.
Sari, İrem Uçal, editor.
Cebi, Selcuk, editor.
Cevik Onar, Sezi, editor.
Öztayşi, Bașar, editor.
Tolga, A. Cagri, editor.
Sari, İrem Uçal, editor.
Series
Lecture notes in networks and systems ; v. 307. 2367-3389
Available in Other Form
Print version: 9783030856250
Print version: 9783030856274
Print version: 9783030856274
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Table of Contents
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.
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.