Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems. Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty. © 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
Açıklama
Anahtar Kelimeler
Control Engineering Tool, Cyber-Physical Metaverse Manufacturing System Components, Digital Twin, Multiple Criteria Decision-Making
Kaynak
Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
WoS Q Değeri
Q1
Scopus Q Değeri
N/A
