The interaction of fuzzy logic with machine learning and artificial intelligence in decision-making models
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The employment of fuzzy logic is progressively gaining recognition as a prevalent and extensive methodology across a diverse spectrum of decision-making procedures. The importance of selecting the most suitable alternative is crucial in the field of Multiple Criteria Decision-Making (MCDM). The objective of the current research is to examine the viability of incorporating fuzzy logic within the fields of Artificial Intelligence (AI) and Machine Learning (ML), with the aim of improving understanding in these areas. The integration of AI, ML, and deep learning techniques in decision-making procedures, along with the examination of fuzzy logic, have been extensively investigated and documented in scholarly publications. The utilization of fuzzy logic has been noted to exhibit significant variations across various academic disciplines. Furthermore, this study investigates the relationship between machine learning and fuzzy logic and their interactions. The integration of fuzzy logic into machine learning algorithms and the emulation of human intelligence methodologies have had a significant influence on the advancement of decision-making procedures, leading to noteworthy advancements in these processes. These procedures have undergone notable advancements as a result. © 2024 Elsevier Inc. All rights reserved.
Açıklama
Anahtar Kelimeler
Artificial intelligence, Decision-making, Deep learning, Fuzzy logic, Machine learning
Kaynak
Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
WoS Q Değeri
Scopus Q Değeri
N/A
