Wave energyWave energy is a promising renewable source, with oscillating water columnOscillating Water Column (OWC) optimizationsOptimization ( \(\mathcal{O} \mathcal{W} \mathcal{C} \mathcal{O} \mathcalligra{s}\) ) being among the most effective technologies for its capture. However, optimizing OWCsOscillating Water Column (OWC) involves multiple conflicting criteria under uncertainty, including variable ocean conditions, material durability, economic feasibility, and environmental impact. This chapter proposes a fuzzy multi-criteria decision-makingMulti-criteria decision-making ( \({\mathfrak{F}} \mathcalligra {m} \mathcalligra {c} \mathcalligra {d} \mathcalligra {m}\) ) framework that integrates fuzzy set ( \({\mathfrak{F}\mathcal{S}}\) ) theory with methods such as FAHP and F-TOPSIS to address these challenges. By incorporating expert judgment and handling imprecise data, the approach enables robust evaluation and ranking of \(\mathcal{O} \mathcal{W} \mathcal{C} \mathcal{O}\) designs. A case study demonstrates that the framework identifies the most balanced design offering efficiency, reliability, and sustainability while accommodating uncertainty in costs and environmental effects. The results highlight the practical value of \({\mathfrak{F}} \mathcalligra {m} \mathcalligra {c} \mathcalligra {d} \mathcalligra {m}\) in guiding policymakers, engineers, and investors toward resilient and sustainable marine energy solutions.