This study provides a comprehensive bibliometric analysis of scientific literature on fuzzy real options and decision-making under uncertainty. The dataset was extracted from the Scopus database, covering publications between 1982 and 2024. A total of 185 documents from 117 sources were analyzed using the bibliometrix package and the biblioshiny interface in RStudio, allowing for both quantitative and qualitative insights. The annual scientific production shows a growing trend, especially after 2010, with a significant increase in recent years. The co-occurrence network and keyword analysis revealed that the dominant research themes are “fuzzy decision making”, “real options”, and “fuzzy pay-off methods”. Key contributors include authors such as Collan M., Yüksel S., and Dinçer H., with relevant outputs concentrated in journals like “Journal of Intelligent and Fuzzy Systems” and “Fuzzy Sets and Systems”. Factorial analysis identified clusters focused on fuzzy set theory, decision models, and optimization strategies. International collaboration is significant, with 26.49% of publications involving cross-country authorship. This analysis contributes to a deeper understanding of the evolution, structure, and interdisciplinary relevance of fuzzy real options research in complex decision environments.