國立高雄大學圖資館 |

Language: English

Back

Intelligent and fuzzy techniques for emerging conditions and digital transformationproceedings of the INFUS 2021 Conference, held August 24-26, 2021.Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent and fuzzy techniques for emerging conditions and digital transformationedited by Cengiz Kahraman ... [et al.].
Reminder of title:	proceedings of the INFUS 2021 Conference, held August 24-26, 2021.
remainder title:	INFUS 2021
other author:	Kahraman, Cengiz.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	xviii, 954 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-85626-7
ISBN:	9783030856267$q(electronic bk.)

Intelligent and fuzzy techniques for emerging conditions and digital transformationproceedings of the INFUS 2021 Conference, held August 24-26, 2021.Volume 1 /
Intelligent and fuzzy techniques for emerging conditions and digital transformationproceedings 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.1..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-85626-7doiSubjects--Topical Terms:

380776
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 transformationproceedings of the INFUS 2021 Conference, held August 24-26, 2021.Volume 1 /
LDR:02995nmm a2200349 a 4500 001 618128
003 DE-He213
005 20210823141736.0
006 m d
007 cr nn 008maaau
008 221025s2022 sz s 0 eng d
020 $a 9783030856267$q(electronic bk.)
020 $a 9783030856250$q(paper)
024 7 $a 10.1007/978-3-030-85626-7 $2 doi
035 $a 978-3-030-85626-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343 $b I54 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b I43 2021
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Intelligent and fuzzy techniques for emerging conditions and digital transformation $h [electronic resource] : $b proceedings of the INFUS 2021 Conference, held August 24-26, 2021. $n Volume 1 / $c edited by Cengiz Kahraman ... [et al.].
246 3 $a INFUS 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xviii, 954 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 307
505 0 $a 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.
520 $a 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.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Big data $v Congresses. $3 592065
650 0 $a Fuzzy sets $v Congresses. $3 387155
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Kahraman, Cengiz. $3 278539
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 744793
856 4 0 $u https://doi.org/10.1007/978-3-030-85626-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)