Replication data for Fuzzy Dematel method tables

This dataset is associated with a master's dissertation and comprises the data collected for the analysis of critical factors related to the research subject. The data are quantitative in nature and were obtained through structured instruments applied to experts/participants, aiming to evaluate the influence relationships among the analyzed factors. After collection, the data underwent stages of organization, tabulation, and processing using spreadsheet software. Aggregation and normalization procedures were applied, as well as the conversion of linguistic judgments into numerical values using fuzzy logic, allowing the handling of uncertainties inherent in human assessments. The methodology adopted for data analysis was the Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) method, which enables the identification and measurement of cause-and-effect relationships among the studied factors. From this method, relation matrices were generated, along with the calculation of prominence (R + C) and relation (R – C) indices, as well as the construction of causal diagrams that illustrate the structure of influence among the system elements. The purpose of this dataset is to support the analysis of interdependencies among the investigated critical factors, contributing to a systemic understanding of the research problem and supporting decision-making in the studied context