Being cleaner and climate friendly, wind energy has been increasingly utilized to meet the evergrowingrnglobal energy demands. In Ethiopia, a wide gap exists between wind resources andrnactual energy production, and it is imperative to expand the wind energy production. This studyrnwas conducted in Hitosa Woreda, which is located in East Showa Zone of Oromia Region, in thernRift valley area of the country. The main objective of this study was to identify potential windrnfarm sites in the study area using fuzzy approach. The development of new wind farm energyrnproject requires studying of many parameters to achieve maximum benefits at the cost ofrnminimum environmental impacts. While site selection, there is a problem comes with prioritizingrncriteria that determine the best location. Dealing with real life situation and experts' judgmentsrninvolves uncertainty. To solve this problem, a model containing Multi-Criteria DecisionrnMaking (MCDM) technique that is Analytical Hierarchy Process (AHP) with fuzzy theoryrnwas designed to handle the uncertainty situations. Ten criteria were adopted in this method,rnincluding wind speed, distance to roads, to rivers, from towns, from faults, closeness to powerrnline, slope, lithology, elevation, slope and exclusionary areas. The weights of the criteria of thernsite were obtained through application of developed FAHP idea. Geographic Information Systemrn(GIS) was used to overlay and generate criteria maps, and IDRISI 17.0 was used for fuzzyrnaggregation and development of suitability map. The study ends with an assessment of proposedrnsites to the generated suitability map. The results of the assessment showed that the northernrnzones of the investigated region have high wind energy potentials. Such zones are appropriate forrnsetting up electricity generating wind turbines. From total investigated area of 1260sq. km. thernamount of extremely suitable zone was 96.902 sq. km, highly suitable zones was 152.194 sq. km,rnmoderately suitable zones is 179.11 sq. km, less suitable zones was 311.159 sq. km. Thernsuggested model may serve as a useful decision making tool for the energy planners and decisionrnmakers, intending to develop wind farm energy in the present study area. This model is acceptedrnto help to identify suitable wind farm locations in other areas with a similar geographic backrnground.rnKey words: Crisp, Fuzzy, FAHP, GIS, wind farm