Abstract : Our proposal in this study was to build an initiative tool called Initiative Systematic Performance Evaluation (ISPE), which would be based on the Fuzzy Logic Approach and would be used to measure the abilities of students. Data gathered from a leadership program that was carried out at Dr. A.P.J. Abdul Kalam Technical University in Lucknow, India, is the basis for the selection of the top student, which is the primary subject of this study. Because of the subjectivity and intricacy of estimating models, the ongoing practice includes various hindrances that are both tedious and hard to recognize. During the evaluation process, ISPE helps to provide evaluators with a better decision-making solution, which is why it is so important. The experts are able to incorporate any ambiguity and subjectivity into the evaluation system by utilizing fuzzy logic techniques, which were used in the developmental process of ISPE. A total of four attributes-leadership, communication, discipline and CGPA are used as the basis for the formulation of fuzzy rules in this model. With regard to the conventional technique, the results that were obtained show that the proposed model ISPE is capable of enhancing the efficiency of decision-making, which would result in fairness in the selection of the best candidate.
Cite : Singh, B., & Sharma, M. (2024). Fuzzy Logic-Enabled Student Performance Evaluation For Accurate Best Student Award Selection (1st ed., pp. 12-27). Noble Science Press. https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-03
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