An interval type-2 fuzzy logic based system with user engagement feedback for customized knowledge delivery within intelligent E-learning platforms
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6880680/6891523/06891663.pdf?arnumber=6891663
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Providing Feedback for Students in E-Learning Systems: a Literature Review, based on IEEE Explore Digital Library;2020 IEEE Global Engineering Education Conference (EDUCON);2020-04
2. A fuzzy computational model of emotion for cloud based sentiment analysis;Information Sciences;2018-04
3. A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms;Journal of Artificial Intelligence and Soft Computing Research;2016-12-17
4. A Big Bang–Big Crunch Type-2 Fuzzy Logic System for Machine-Vision-Based Event Detection and Summarization in Real-World Ambient-Assisted Living;IEEE Transactions on Fuzzy Systems;2016-12
5. A zSlices-based general type-2 fuzzy logic system for users-centric adaptive learning in large-scale e-learning platforms;Soft Computing;2016-06-28
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