The development of wind energy projects (WEP) have been encouraged, since the last decade. Therefore, WEP grows exponentially, which makes wind energy the trend of energy production for many countries. The success of wind energy project relies on the choice of the appropriate site for wind power plant, often decided by the application of Multi Criteria Decision Making (MCDM). The MCDM methodologies for location selection have a range of shortcomings: (1) the incomplete use of knowledge, (2) the lack of evidence in the decision-making process; and (3) the problem of ignoring the interaction between parameters. This paper presents a new framework for the location selection of wind power stations, based on the incorporating of geographic information system (GIS) and analytical network process (ANP) through neutrosophic environment to cover MCDM's shortcoming. First, an assessment model is built for wind farm site selection. Then, in the specialist committee decision, the bipolar neutrosophic set is used to express missing knowledge. In addition, we take the relationship problem into account by collecting the opinions of experts. Finally, the GIS is used to determine the wind farm potential zones. The suggested framework for the identification of wind farm sites is validated by the use of a case study from Egypt.