Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation -

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 1
Buch | Softcover
XVIII, 954 Seiten
2021 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-85625-0 (ISBN)
235,39 inkl. MwSt

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 andmetaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.


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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Networks and Systems
Zusatzinfo XVIII, 954 p. 287 illus., 167 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1460 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Big Data Analytics • Decision Making • Fuzzy Techniques • INFUS 2021 • Intelligent Techniques
ISBN-10 3-030-85625-9 / 3030856259
ISBN-13 978-3-030-85625-0 / 9783030856250
Zustand Neuware
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