It is famous that, one of the ways to break even the inequality between richer students and Brilliant but Needy Students(BbNSs) is via scholarships. However, the selection process of brilliant but needy students is often entangle with uncertainty, lack of transparency and unfairness from the experts and the vagueness of the experts’ language used linguistically. The fuzziness inherent in human reasoning couple with the biases of human by nature preclude some highly qualified brilliant but needy students from getting selected for scholarships. This study deploys Fuzzy Logic Approach(FLA) to develop an evaluation model for selecting brilliant but needy students for scholarships. The paper uses the Mamdani Inference algorithm with four input variables that constituted the input membership function and the output membership function is made of one output variable. The research concludes that; FLA objectively select the truly qualified brilliant but needy students for scholarships based on degree of membership.
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