This assessment tool was created to generate a decision-making support system and assessment approach for a post-fire (aftermath) and blast explosion impact. It uses a multidecision analysis neural network. Multidecision analysis is very crucial as the judgment of the assessment relies not only on engineering input but also on many contributing factors, such as lead time for replacement. This article outlines the framework for post-incident explosion and fire-damaged assessment using evaluation acceptance criteria and judgment that streamlines the process. Grounded theory (GT) and fuzzy cognitive mapping (FCM) techniques are presented and evaluated. Overall, this study aims to develop how the project organizations can ensure safety and asset integrity decision-making by identifying hindrances and later developing a multicriteria analysis framework for the post-incident assessment phase of implementation. © 2024 American Institute of Chemical Engineers.