Collaborative Learning Grouping Problem in Multi-agent E-learning Based on Rough Set

Pan Fang, Pan Yu
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引用次数: 4

Abstract

Taking the collaborative learning grouping as background, grouping agent model is resolved by rough set algorithm. Considering the actual application situation, grouping agent is structured in the condition of information absence. And the grouping rule based on rough set is studied. The system running result verifies the modelpsilas rationality, feasibility and validity of this algorithm.
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基于粗糙集的多智能体电子学习协同学习分组问题
以协同学习分组为背景,采用粗糙集算法求解分组智能体模型。考虑到实际应用情况,在信息缺失的情况下构建分组代理。研究了基于粗糙集的分组规则。系统运行结果验证了模型的合理性、可行性和算法的有效性。
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