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In order to improve the performance of the gas turbine power plant and to generate electricity at the best cost, a fuzzy logic controller model was used to show the effect of different parameters on the power generation output of gas turbines. The proposed methodology was applied to certain parameter values collected from Rehab power station in Jordan—as a case study—for validation purposes. Relative weights were used, i.e., very very low power generation “extremely low power generation,” very low power generation, low power generation, normal power generation, high power generation, and very high power generation. The study reveals that the major factors that affect yield are ambient temperature (T ₁), compressor’s exit temperature (T ₂), turbine’s inlet temperature (T ₃), turbine exit temperature (T ₄), pressure ratio (R _p), mass of …