Artificial Intelligence–Based Fuzzy Logic to Determine Admission of First Year Primary School Student

Abstract

Students are typically admitted to the first grade of primary school upon reaching the age of six years. This policy, however, often results in the exclusion of children who are just a few weeks shy of turning six, despite possessing the mental and physical capabilities required for admission. Hence, it is crucial to reconsider these criteria during the admission process. This paper introduces a software model designed to calculate the acceptance rate of students. The model incorporates fuzzy logic and artificial intelligence, employing the Mamdani model to consider age along with mental and physical criteria as inputs to the system. Specific threshold values, indicative of actual values for each input, have been established and incorporated during the system's design. These values, derived from insights provided by educational experts, are then used by the system to process criteria entered by end-users. Subsequently, the system determines the acceptance decision based on the processed criteria.