<p>This study aims to optimize solar distillation systems in order to address the growing need for clean drinking water. It presents a new neutrosophic fuzzy set model that examines the truth, indeterminacy, and falsity of the climate of three coastal regions in India as well as the operating temperatures of solar stills. An algorithm is created to predict each site’s optimal solar still performance. The model uses both descriptive and numerical data to generate membership functions for truth, uncertainty, and falsehood through a multi-criteria decision-making process. The accuracy of the suggested approach is higher than that of conventional fuzzy models. In addition, neutrosophic-specific operational rules and suitable operators that mimic the temperature dynamics of the solar still are used. The results determine the optimal design characteristics and the most advantageous coastal location for efficient solar still deployment. This study uses a new neutrosophic fuzzy model to find the best design and operation of solar stills for clean water in three Indian coastal areas, considering uncertainties in temperature and climate. It predicts performance better than older methods and helps determine the best location and design.</p>