Reconstructed Synthetic Validation Dataset for the Proposed Mamdani FIS

This dataset contains the reconstructed synthetic validation data used to evaluate the proposed Mamdani-type Fuzzy Inference System (FIS) for information security risk assessment. The dataset comprises 30 cybersecurity scenarios covering three representative threat types: Zero-Day Attack, Insider Threat, and SQL Injection. Each scenario is characterized by normalized Threat Probability (TP), Vulnerability (V), and Asset Value (AV) values in the interval [0, 1]. The dataset also contains the corresponding FIS-generated crisp risk values and qualitative risk levels. The dataset was prepared to support reproducibility of the validation procedure described in the associated research article.