Multi-Valued Neutrosophic Sets for Forecasting Cryptocurrency Volatility
Noura Metawa 1,2, Rhada Boujlil 3, Maha Metawea 4
1 College of Business Administration, University of Sharjah, UAE
2 Faculty of Commerce, Mansoura University, Egypt
3 College of Business Administration, Prince Sultan University, KSA
4 College of Business Administration, Delta University for Science and Technology, Egypt
Emails: nmetawa@sharjah.ac.ae; rboujlil@psu.edu.sa; dr.mahasaad@hotmail.com
Abstract
The media, legislators, investors, scholars, and regulatory agencies have all shown increased interest in the Cryptocurrency sector recently. Using different criteria in furthermore to return and risk in the cryptocurrency issue utilizing the multi-criteria decision-making (MCDM) methodologies makes it more practical in the real world. A model for predicting the volatility of cryptocurrencies is proposed in this study, and it is based on the TOPSIS approach. The model uses five criteria and six cryptocurrencies. Using a multi-valued neutrosophic set, also known as MVNS, helps to reduce the amount of uncertainty associated with the problem. MVNS was used to express the criteria and alternatives, and the model might possibly represent the Cryptocurrency with varying degrees of truth, indeterminacy, and falsity values.
Keywords: TOPSIS; Multi-valued neutrosophic sets; Forecasting cryptocurrency volatility; MCDM