A Risk Assessment Method for Decentralized Finance(DeFi) with Fermatean Fuzzy AHP Approach
The 3rd International Conference on Applied Mathematics, Modeling and Computer Simulation (AMMCS 2023), Wuhan, China, 12 - 13 September 2023, pp.1-16, (Full Text)
- Publication Type: Conference Paper / Full Text
- City: Wuhan
- Country: China
- Page Numbers: pp.1-16
- Open Archive Collection: AVESIS Open Access Collection
- Istanbul University-Cerrahpasa Affiliated: Yes
Abstract
Through creative, open, and interoperable financial solutions, decentralized finance is upending the financial system. Decentralized finance, which is based on distributed ledger technology, is a young and quickly developing field. In terms of growth, decentralized finance protocols are experiencing a perfect storm. However, this developing field requires careful examination because there are special hazards associated with these financial innovations for consumers, creators, regulators, and other stakeholders. The current study seeks to categorize and rank the hazards involved in decentralized finance. The purpose of the current study was to identify the numerous dangers associated with decentralized finance through a thorough review of the literature. For the study used for empirical analysis, data obtained from experts in previous studies were used. In decentralized finance, a Fermatean fuzzy AHP (FF-AHP) was used to rank various risks. Technical risks are the most important ones, followed by legal, regulatory, and financial risks, according to pairwise comparisons and weights of all the criteria and sub-criteria. Financial risks are the most significant sub-risk, followed by smart contract risks and transaction risks. The findings of this study have several ramifications for legislators, businesspeople, technologists, and practitioners. These stakeholders can concentrate on these weaknesses in the future and provide longer-lasting solutions.