Diet assessment based on type‐2 fuzzy ontology and fuzzy markup language

@article{Lee2010DietAB,
  title={Diet assessment based on type‐2 fuzzy ontology and fuzzy markup language},
  author={C. Lee and M. Wang and G. Acampora and Chin-Yuan Hsu and H. Hagras},
  journal={International Journal of Intelligent Systems},
  year={2010},
  volume={25}
}
  • C. Lee, M. Wang, +2 authors H. Hagras
  • Published 2010
  • Computer Science
  • International Journal of Intelligent Systems
  • Nowadays most people can get enough energy to maintain one‐day activity, while few people know whether they eat healthily or not. It is quite important to analyze nutritional facts for foods eaten for those who are losing weight or suffering chronic diseases such as diabetes. This paper proposes a novel type‐2 fuzzy ontology, including a type‐2 fuzzy food ontology and a type‐2 fuzzy markup language (FML)‐based ontology, for diet assessment. In addition, we also present a type‐2 FML (FML2) to… CONTINUE READING
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