Renewable energy resources have got much attention in recent years. Because of climate change in the world, the countries try to develop renewable energy resources. Wind farms are renewable energy resources that can produce electricity with no negative effect on climate change. In this study, as an important topic, the location selection problem of wind farms is considered as a real case study. For the first time, a multi-criteria wind farm location selection problem with neutrosophic fuzzy and uncertain criteria at the same time is developed. As the set of criteria consists of both input and output criteria, we develop a novel hybrid neutrosophic-fuzzy-uncertain scheme of BCC DEA model for the first time to solve the problem. As solution approach, a chance-constrained programming approach based on possibility measure of the neutrosophic fuzzy constraints of the model also for the first time is proposed in this study. An extensive computational study on the case study by the proposed approach is performed. The candidate locations of the case study are prioritized where the location of Birjand city with score of 1.1656 is selected as the best location. A sensitivity analysis on the confidence levels of the chance-constrained programming approach is performed and also the obtained results are compared to the approaches of the literature.