An integrated decision-making process for risk analysis of decentralized finance

• Published in: Neural computing & applications Vol. 37; no. 8; pp. 6021 - 6051
• Main Author: Kirişci, Murat
• Format: Journal Article
• Language: English
• Published: London Springer London 01.03.2025; Springer Nature B.V
• Subjects: Artificial Intelligence; Asset management; Blockchain; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Decision making; Digital currencies; Distributed ledger; Empirical analysis; Finance; Financial systems; Fuzzy sets; Image Processing and Computer Vision; Innovations; Original Article; Performance evaluation; Probability and Statistics in Computer Science; Risk analysis; Risk assessment; Sensitivity analysis; Stochastic models; Technological change; Volatility; DEMATEL; Risk assessment; Fermatean fuzzy environment; Decentralized finance (DeFi); AHP; MCDM; TOPSIS; ARAS

Decentralized finance is upending the financial system through innovative, open, and interoperable financial solutions. Decentralized finance is a rapidly emerging field based on distributed ledger technology. Decentralized banking protocols are witnessing a perfect storm in terms of growth. However...