Probabilistic ranking of Hazmat logistics subsystems under uncertainty using fuzzy AHP

Abstract

This paper presents a multi-criteria decision-making (MCDM) procedure for identifying critical hazardous materials logistic subsystems using the fuzzy analytic hierarchy process methodology. The hierarchical structure comprises three criteria, nine sub-criteria, and five alternatives. Expert judgments of criteria and sub-criteria and alternatives for each criterion (sub-criterion) are presented using triangular and trapezoidal membership functions. The proposed ranking algorithm, which involves a serial connection of three functional units with feedback, is suitable for automating the MCDM process in construction. The obtained results align with existing literature on the risks associated with hazardous materials logistics subsystems. Critical logistics subsystems refer to using hazardous materials and their production activities, while storage, handling, and transportation involve proximity to ranked risks.