Adaptive Planning of Renewable Energy Technologies: A Hybrid Fuzzy Dombi–MAIRCA Framework for Sustainable Energy Management
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Abstract
This study addresses the urgent need for adaptive, multi-criteria decision-support systems in renewable energy planning under uncertainty. Despite the proliferation of Multi-Criteria Decision-Making (MCDM) techniques, existing models often fail to integrate nuanced stakeholder preferences with robust sensitivity and scenario analysis. To bridge this gap, we propose a novel hybrid framework combining fuzzy Dombi aggregation with the MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method, enabling physically realistic and policy-responsive evaluation of five renewable energy technologies in the Moroccan context. The model incorporates fifteen environmental, technical, and socio-economic criteria, with weights derived via fuzzy pairwise comparison and validated through perturbation and scenario modeling. The proposed framework advances prior literature by integrating fuzzy logic with MAIRCA’s ideal expectation structure, offering a scalable tool for sustainable energy decision-making under evolving policy constraints.
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