Optimizing Wind Power Plant Locations: A GIS‐Based Approach With Interval Type‐2 Fuzzy Risk Deviation Performance Index

This study develops an integrated GIS and multicriteria decision making (MCDM) approach supported by the Interval Type‐2 Fuzzy Risk Deviation Performance Index (IT2F‐RDPI) method to assess the wind energy potential in Diyarbakır Province. Fifteen criteria, including wind speed, slope, land use, elevation, soil structure, and proximity to transmission lines, were analyzed to identify suitable areas for wind power generation, resulting in approximately 7997.9 km 2 of land being identified as suitable for wind energy production. The IT2F‐RDPI method evaluates the performance deviations and risks by considering uncertainties, providing a more reliable decision support framework. The results show that the Çüngüş and Kulp districts have the most favorable wind conditions with low risk and high energy potential, making them the most suitable areas for wind energy investment. Economic analyses confirm that wind energy investments in these areas are both technically and economically feasible. The findings highlight that the IT2F‐RDPI method offers a robust decision support tool for identifying the most suitable areas for wind energy investments.