50 citations · 119 across the 11 of their papers we have counts for
11 papers
AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning
Chang-Shing Lee, Mei-Hui Wang, Yusuke Nojima +2
Computational Intelligence (CI), which includes fuzzy logic (FL), neural network (NN), and evolutionary computation (EC), is an imperative branch of artificial intelligence (AI). A…
Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application
Chang-Shing Lee, Mei-Hui Wang, Zong-Han Ciou +6
In this paper, the Robotic Assistant Agent for student and machine co-learning on AI-FML practice with AIoT application is presented. The structure of AI-FML contains three parts,…
A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction
Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan +8
In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robo…
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen +6
This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go. The genetic fuzzy markup language…
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +8
This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction app…
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…