Applying the Fuzzy BWM to Determine the Cryptocurrency Trading System under Uncertain Decision Process

The crypto and digital assets ecosystems have attracted investment, regulators, speculators to their environment. As the blockchain-based framework can reduce transaction costs, generate distributed trust, enable decentralized platforms, it has become a potential new base for business models. Previous studies highlighted advantages drawbacks of each platform, such as interest rates, cost concerns, transparency issues, hacking hazards. Consequently, is challenging investors evaluate cryptocurrency trading system which determines optimum exchanges crucial aspects. Therefore, in order rank optimal token system, this paper develops an evaluation architecture determine various systems. developed integrates fuzzy theory best-worst method (BWM) into decision-making process assess decision behaviors regarding preference systems Taiwan. First, work establishes views parameters by modifying Delphi based on literature review survey. Second, fuzzy-BWM applied obtain weights parameters. Then, defuzzification BWM are used alternatives investors. results indicate that critical gas fees, mechanism savings under uncertain scenarios. This means when considering ambiguous characteristics expert systems, fees most important parameter investment platform. Academically, BWM-based provide corporations with valuable guidance Commercially, proposed could useful model measure system.