<p>This research explores individual investors’ preferences for cryptocurrencies in Hungary using a novel analytical method with flexible fuzzy numbers, which accounts for uncertainty in responses, unlike the traditional Likert scale-based analysis. An online questionnaire yielded 116 responses, which were analyzed using descriptive and inferential statistical methods. The flexible fuzzy number-based questions assessed respondents’ knowledge of cryptocurrencies, blockchain, and trust levels. Responses were aggregated mathematically, and demographic factors such as age, gender, education, marital status, income, and cryptocurrency ownership were analyzed. Median tests were used for hypothesis testing between cryptocurrency owners and non-owners based on defuzzified values. Relationships among variables were visualized using heatmaps. Additionally, comparative analysis of cryptocurrency preferences was conducted between investors in Hungary and Germany. Insights from this study can help financial institutions tailor investment portfolios by understanding individual cryptocurrency preferences in Hungary.</p>