Analysis of Cryptocurrency Market by Using q-Rung Orthopair Fuzzy Hypersoft Set Algorithm Based on Aggregation Operators

One of the most important innovations brought by digitization is cryptocurrency, also called virtual or digital currency, which has been discussed in recent years and particular a new platform for investors. Different types cryptocurrencies such as Bitcoin, Ethereum, Binance Coin, Tether do not depend on central authority. Decision making complicated categorization transmission uncertainty, well verification currency. The weighted average geometric aggregation operators are used this article to define multi-attribute decision-making approach. This work investigates uniqueness q-rung orthopair fuzzy hypersoft sets (q-ROFHSS), respond instabilities, ambiguity, imprecise information. research covers some fundamental topics q-ROFHSS. model offered here best option learning about electronic study validates complexity problems with different attributes subattributes obtain an optimal choice. We conclude that Bitcoin diverse set applications crypto assets positioned become asset class decision making.