output
20162025
most citedPSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application

50 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018 · cs.AIShow all

3 papers · 2 filters

cs.AI2018★ 50 cited

PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application

Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang +4

This paper proposes an agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for students learning performance evaluation and educational applications…

cs.AI2018★ 4 cited

Human and Smart Machine Co-Learning with Brain Computer Interface

Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +5

Machine learning has become a very popular approach for cybernetics systems, and it has always been considered important research in the Computational Intelligence area. Neverthele…

cs.AI2018★ 6 cited

Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning

Chang-Shing Lee, Mei-Hui Wang, Tzong-Xiang Huang +6

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The…