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020 _a9783030856267
024 7 _a10.1007/978-3-030-85626-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.D343
_b2022 EB
245 0 0 _aIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation :
_bProceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 1
_cedited by Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XVIII, 954 páginas)
_b287 ilustraciones, 167 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3389
_v307
505 0 _aFuzzy 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 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9162648
_aData mining
_vCongresos y asambleas
650 7 _2embne
_9495511
_aDatos masivos
_vCongresos y asambleas
650 7 _2embne
_9145903
_aConjuntos difusos
_vCongresos y asambleas
776 0 8 _iPrinted edition:
_z9783030856250
776 0 8 _iPrinted edition:
_z9783030856274
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-85626-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_eIG
_zSI