The emergence of wind energy as a potential alternative to traditional sources of fuel has
prompted notable research in recent years. One primary factor contributing to efficient utilization
of wind energy from a wind farm is the type of turbines used. However, selection of a specific
wind turbine type is a difficult task due to several criteria involved in the selection process.
Important criteria include turbine’s power rating, height of tower, energy output, rotor diameter,
cut-in wind speed, and rated wind speed. The complexity of this selection process is further amplified
by the presence of conflicts between the decision criteria. Therefore, a decision is desired that
provides the best balance between all selection criteria. Considering the complexities involved in the
decision-making process, this paper proposes a two-level decision turbine selection strategy based
on fuzzy logic and multi-criteria decision-making (MCDM) approach. More specifically, the fuzzy
arithmetic mean operator is used in the decision process. The proposed approach is applied to wind
data collected from the site of Qassim, Saudi Arabia. Results indicate that the proposed approach
was effective in finding the optimal turbine from a set of 20 turbines of various capacities.