Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightOur results indicate that the entropy-based Choquet integral outperforms the complexity-based Choquet and k-means method in most of the cases.
📌 3 Maddede Bu Makale
Özet
Performance evaluation functions as an essential tool for decision makers in the field of measuring and assessing the performance under the multiple evaluation criteria aspect of the systems such as management, economy, and education system. Besides, academic performance evaluation is one of the critical issues in higher institution of learning. Even though the academic evaluation criteria are inherently dependent, most of the traditional evaluation methods take no account of the dependency. Currently, the discrete Choquet integral can be proposed as a useful and effective aggregation operator due to being capable of considering the interactions among the evaluation criteria. In this paper, it is aimed to solve an academic performance evaluation problem of students in a university in Turkey using the discrete Choquet integral with the complexity-based method and the entropy-based method. Moreover, the k-means method, which has been widely used for evaluating students’ performance over 50 years, is used to compare the effectiveness and the success of two different frameworks based on discrete Choquet integral in the robustness check. Our results indicate that the entropy-based Choquet integral outperforms the complexity-based Choquet and k-means method in most of the cases.
Abstract
Performance evaluation functions as an essential tool for decision makers in the field of measuring and assessing the performance under the multiple evaluation criteria aspect of the systems such as management, economy, and education system. Besides, academic performance evaluation is one of the critical issues in higher institution of learning. Even though the academic evaluation criteria are inherently dependent, most of the traditional evaluation methods take no account of the dependency. Currently, the discrete Choquet integral can be proposed as a useful and effective aggregation operator due to being capable of considering the interactions among the evaluation criteria. In this paper, it is aimed to solve an academic performance evaluation problem of students in a university in Turkey using the discrete Choquet integral with the complexity-based method and the entropy-based method. Moreover, the k-means method, which has been widely used for evaluating students’ performance over 50 years, is used to compare the effectiveness and the success of two different frameworks based on discrete Choquet integral in the robustness check. Our results indicate that the entropy-based Choquet integral outperforms the complexity-based Choquet and k-means method in most of the cases.