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Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience.

, , , , and . CEC, page 1-8. IEEE, (2023)

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Apply Fuzzy Markup Language to ASAP Assessment System., , , , , and . On the Power of Fuzzy Markup Language, volume 296 of Studies in Fuzziness and Soft Computing, Springer, (2013)Fuzzy Semantic Agent Based on Ontology Model for Chinese Lyrics Classification., , , , and . SMC, page 4254-4259. IEEE, (2018)Dynamical cognitive services for Ambient Intelligence environments., , , and . SOCA, page 1-8. IEEE Computer Society, (2009)Ontology-based multi-agents for intelligent healthcare applications., , , , , and . J. Ambient Intell. Humaniz. Comput., 1 (2): 111-131 (2010)Human vs. Computer Go: Review and Prospect., , , , , , , , and . CoRR, (2016)Property and application of fuzzy ontology for dietary assessment., , , , , , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Fuzzy markup language with genetic learning mechanism for invention patent quality evaluation., , , , and . CEC, page 251-258. IEEE, (2015)FML-based Japanese diet assessment system., , , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2013)FML-based decision support system for solar energy supply and demand analysis., , , , and . FUZZ-IEEE, IEEE, (2013)FML-based robotic summarization agent and its application., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)