Abstract
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 of foods eaten for those who are losing weight or suffering chronic diseases such as diabetes. However, diet is a problem with a high uncertainty, and it is widely pointed out that classical ontology is not sufficient to deal with imprecise and vague knowledge for some real-world applications like diet. On the other hand, a fuzzy ontology can effectively help handle and process uncertain data and knowledge. This chapter proposes a type-2 fuzzy set and fuzzy ontology for diet application and uses the type-2 fuzzy markup language (T2FML) to describe the knowledge base and rule base of the diet, including ingredients and the contained servings of six food categories of some common foods in Taiwan. The experimental results show that type-2 fuzzy logic system (FLS) performs better than type-1 FLS, proving that type-2 FLS can provide a powerful paradigm to handle the high level of uncertainties present in diet.
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References
Acampora, G., Loia, V.: Using FML and fuzzy technology in adaptive ambient intelligence environments. International Journal of Computational Intelligence Research 1(2), 171–182 (2005)
Acampora, G., Loia, V.: Fuzzy control interoperability and scalability for adaptive domotic framework. IEEE Trans. Industr. Inf. 1(2), 97–111 (2005)
Afacan, Y., Demirkan, H.: An ontology-based universal design knowledge support system. Knowl.-Based Syst. 24(4), 530–541 (2011)
Bobillo, F., Straccia, U.: Fuzzy ontology representation using OWL 2. Int. J. Approximate Reasoning 52(7), 1073–1094 (2011)
Food and Drug Administration, Department of Health, Executive Yuan, Taiwan, Daily dietary guideline. http://consumer.fda.gov.tw/Pages/List.aspx?nodeID=3. Accessed 12 July 2012
Gaeta, M., Orciuoli, F., Ritrovato, P.: Advanced ontology management system for personalized e-Learning. Knowledge-Based System 22(4), 292–301 (2009)
Hagras, H.: Type-2 FLCs: A new Generation of Fuzzy Controllers. IEEE Comput. Intell. Mag. 2(1), 30–43 (2007)
Katz, D.L., Gonalez, H.: The way to eat: a six-step path to lifelong weight control. Sourcebooks Inc, Napervilee (2004)
Lee, C.S., Wang, M.H., Hagras, H.: A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation. IEEE Trans. Fuzzy Syst. 18(2), 374–395 (2010)
Lee, C.S., Jian, Z.W., Huang, L.K.: A fuzzy ontology and its application to news summarization. IEEE Trans. Syst. Man Cybern. B Cybern. 35(5), 859–880 (2005)
Lee, C.S., Wang, M.H., Acampora, G., Hsu, C.Y., Hagras, H.: Diet assessment based on type-2 fuzzy ontology and fuzzy markup language. International Journal of Intelligent System 25(12), 1187–1216 (2010)
Lee, C.S., Kao, Y.F., Kuo, Y.H., Wang, M.H.: Automated ontology construction for unstructured text documents. Data Knowl. Eng. 60(3), 547–566 (2007)
Lee, C.S., Wang, M.H., Chen, Z.W., Hsu, C.Y., Kuo, S.E., Kuo, H.C., Cheng, H.H., Naito, A.: Genetic fuzzy markup language for diet application. Proceeding of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, Jun. 27–30, 2011, pp. 1791–1798 (2011)
Lee, C.S., Wang, M.H., Hagras, H., Chen, Z.W., Lan, S.T., Kuo, S.E., Kuo, H.C., Cheng, H.H.: A novel genetic fuzzy markup language and its application to healthy diet assessment. International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems. 20(2), 247–278 (2012)
Mendel, J.M.: Uncertain rule-based fuzzy logic systems: introduction and new directions. Prentice Hall, Upper Saddle River, NJ (2001)
Mendel, J.M., John, R.I.B.: Type-2 fuzzy sets made simple. IEEE Transactions on Fuzzy Sets 10(2), 117–127 (2002)
Mendel, J.M., John, R.I.B., Liu, F.: Interval type-2 fuzzy logic systems made simple. IEEE Trans. Fuzzy Syst. 14(6), 808–821 (2006)
Trappey, A.J.C., Trappey, C.V., Hsu, F.C., Hsiao, D.W.: A fuzzy ontological knowledge document clustering methodology. IEEE Transactions on Systems, Man. And Cybernetics Part B. Cybernetics 39(3), 806–814 (2009)
Wang, M.H., Lee, C.S., Hsieh, K.L., Hsu, C.Y., Acampora, G., Chang, C.C.: Ontology-based multi-agents for intelligent healthcare applications. Journal of Ambient Intelligence and Humanized Computing 1(2), 111–131 (2010)
Wang, M.H., Lee, C.S., Acampora, G., Loia, V.: Electrocardiogram application based on heart rate variability ontology and fuzzy markup language. In: Gacek, A., Pedrycz, W. (eds.) ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence, pp. 155–178. Springer-Verlag, Germany (2011)
Wang, M.H., Lee, C.S., Chen, Z.W., Lo, C.F., Kuo, S.E., Kuo, H.C., Cheng, H.H.: (2010) Property and application of fuzzy ontology for dietary assessment: IEEE World Congress on Computational Intelligence (IEEE WCCI 2010), pp. 18–23. Barcelona, Spain (2010)
Acknowledgments
This work is supported by the National Science Council (NSC) of Taiwan under the grant NSC98-2221-E-024-009-MY3 and 99-2622-E-024-003-CC3. The authors wish to thank Su-E Kuo, Hui-Ching Kuo, and Hui-Hua Chen, for their support with the experimental results.
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Lee, C.S., Wang, M.H., Hsu, C.Y., Chen, Z.W. (2013). Type-2 Fuzzy Set and Fuzzy Ontology for Diet Application. In: Sadeghian, A., Mendel, J., Tahayori, H. (eds) Advances in Type-2 Fuzzy Sets and Systems. Studies in Fuzziness and Soft Computing, vol 301. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6666-6_15
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DOI: https://doi.org/10.1007/978-1-4614-6666-6_15
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