Multi-Criteria Fuzzy Inference System for Objective Assessment in Higher Education Institutions
Multi-Criteria Fuzzy Inference System for Objective Assessment in Higher Education Institutions

Summary/Abstract: The accurate assessment of learners' acquired knowledge and skills is a crucial component of successful learning. Unbiased assessment tools can be used to model inference systems to support the decision-making process. The article presents a fuzzy inference system built from the FAHP model for knowledge assessment considering the factors influencing the preparation of learners. The development of an advanced methodology that will serve to create a multi-criteria system for choosing assessment technology in higher education institutions, with the ability to apply it to studies of various scopes, including the selection of learning technology, the evaluation of the effectiveness of the teaching method (online, hybrid, or face-to-face), the impact of the number of student visits, and the evaluation of social and economic factors. These factors affecting the objective evaluation of students, together with their sub-criteria, were used to determine their priority weights using the Fuzzy Analytical Process Method (FAHP). In several cases, fuzzy logic can outperform linear, partially linear, or look-up table approaches in terms of control performance.

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