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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 2 / edited by Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari.
INFUS (Conference) (2021 : Istanbul, Turkey); Kahraman, Cengiz, editor.; Cebi, Selcuk, editor.; Cevik Onar, Sezi, editor.; Öztayşi, Bașar, editor.; Tolga, A. Cagri, editor.; Sari, İrem Uçal, editor.
2022
QA76.9.D343
Available Online
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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 2 / edited by Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari.
Meeting Name
INFUS (Conference) (2021 : Istanbul, Turkey)
ISBN
9783030855772 (electronic bk.)
3030855775 (electronic bk.)
9783030855765 (print)
DOI
https://doi.org/10.1007/978-3-030-85577-2
Published
Cham, Switzerland : Springer, [2022]
Language
English
Description
1 online resource (xvii, 897 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-85577-2 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.
Series
Lecture notes in networks and systems ; v. 308. 2367-3389
Available in Other Form
Print version: 9783030855765
Print version: 9783030855789
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Critical path for projects with activity durations modelled as Z-fuzzy numbers
Defuzzification of Intuitionistic Z-Numbers for Fuzzy Multi Criteria Decision Making
Clustering Z- information based on semantic spaces.

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