Selection of Criteria for the Application of the Integrated AHP-PROMETHEE/GAIA Method for Predicting the Risk of Deformation of Storage Tanks

Storage tanks are critical infrastructure in industries such as oil and gas, chemicals, and water treatment. Deformation poses serious risks, including catastrophic failures, environmental pollution, and economic losses. Current risk assessment methods often lack a structured, multi-criteria approach that integrates quantitative data with expert judgment, leading to potential omissions or subjective biases. A robust framework for predicting deformation risk is essential for proactive maintenance and safety management. This research proposes the development and application of an integrated multi-criteria decision-making (MCDM) methodology that combines the Analytic Hierarchy Process (AHP), the Preference Ranking Method for Enriching Evaluations (PROMETHEE), and the Geometric Analysis for Interactive Assistance (GAIA). The main focus is on establishing a rigorous, systematic, and defensible framework for selecting criteria specific to predicting the risk of storage tank deformation. The effectiveness of the AHP-PROMETHEE/GAIA method critically depends on identifying the most relevant, measurable, non-redundant, and comprehensive set of criteria that affect the risk of deformation. Poorly selected criteria will compromise the entire predictive model. This proposal directly addresses this critical gap.