Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA

The technical, logistical, and ecological challenges associated with offshore wind development necessitate an extensive site selection analysis. Technical parameters such as resource, logistical concerns distance to shore, considerations fisheries all must be evaluated weighted, in many cases incomplete or uncertain data. Making a critical decision severe potential economic ecologic consequences requires strong decision-making approach ultimately guide the process. This paper proposes type-2 neutrosophic number (T2NN) fuzzy based multi-criteria (MCDM) model for farm (OWF) selection. combines advantages of numbers sets, which can utilize information, multi-attributive border approximation area comparison that provides formulation flexibility easy calculation. Further, this study develops integrates techno-economic OWFs decision-making. A case is performed evaluate rank five proposed OWF sites off coast New Jersey. To validate model, against three alternative T2NN models performed. It demonstrated implemented yields same ranking order approaches. Sensitivity analysis reveals changing criteria weightings does not affect order.