Expert Opinion Fuzzy Model to Assess Energy Systems Resilience in Mexico

Existing energy resilience metrics have primarily focused on the technical performance of systems, with evaluations typically conducted using mathematical algorithms. However, as several authors have noted, energy resilience involves more than the ability to recover from a blackout, as it also encompasses social and economic contexts. In response to this limitation, the present study proposes a metric for assessing energy resilience that incorporates not only technical factors, but also environmental, social, economic, and institutional dimensions. The metric was validated through the judgements of experts with more than 15 years of professional experience in the field. Given the qualitative nature of the information associated with these dimensions, fuzzy logic is employed as the analytical approach. Two fuzzy logic models were applied: a simplified model comprising five variables and a more detailed model comprising fifteen variables organised into sub-principles. The results indicate a national energy resilience value of 1.55 for the simplified model and 2.0 for the detailed model, suggesting that the inclusion of a broader set of variables yields a more representative assessment. These findings support the view that fuzzy logic is an appropriate tool for this type of evaluation, as it allows expert knowledge to be systematically incorporated into the assessment process. Furthermore, the proposed approach may be adaptable to energy resilience evaluations conducted at both national and local scales. Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i1.1080 Dimensions.Open Alex.