Abstract
Weather forecast is an environment where there are inevitable uncertainties associated with weather phenomena. In such a fuzzy environment, inference systems for weather forecast and its evaluation have been explored to tackle difficult major in formulating forecast policy, and to cope up with vague and/or abnormal (chaotic) meteorological information. In this paper, a framework of building a fuzzy ontology for representing the meteorological knowledge is proposed. The weather fuzzy inference system has been suggested, which takes the fuzzy ontology and the corresponding instances as its knowledge base. A method for fuzzy ontology integration is introduced for solving inconsistency among weather services’ knowledge.
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References
Baader, F., Lutz, C., Sturm, H., Wolter, F.: Basic description logics. Journal of Logic and Computation (2003)
Zadeh, L.A.: Fuzzy sets. Inform. and Control 8, 338–353 (1965)
Calegari, S., Ciucci, D.: Integrating Fuzzy Logic in Ontologies. In: ICEIS (2), pp. 66–73 (2006)
Duong, T.H., Nguyen, N.T., Jo, G.S.: Fuzzy Ontology Integration Using Consensus Method. In: ICHIT 2010 Proceedings. ACM, New York (2010)
http://www.globalsecurity.org/wmd/library/policy/army/fm/3-6/3-6gl.htm
Hung, N.Q., Babel, M.S., Weesakul, S., Tripathi, N.K.: An artificial neural network model for rainfall forecasting in Bangkok, Thailand. Hydrol. Earth Syst. Sci. 13, 1413–1425
Lapedes, A., Farber, R.: Nonlinear signal processing using neural networks: prediction and system modeling. Technical Report LA-UR-87-2662, Los Alamos National Laboratory, Los Alamos, NM (1987)
Pedersen, T., Patwardhan, S., Michelizzi, J.: WordNet:Similarity-measuring the relatedness of concepts. In: Proceedings of NAACL (2004)
Mitra, A.K., Nath, S., Sharma, A.K.: Fog Forecasting using Rule-based Fuzzy Inference System. J. Indian Soc. Remote Sens. 36, 243–253 (2008)
Hansen, B., Riordan, D.: Fuzzy case-based prediction of cloud ceiling and visibility. In: 3rd Conference on Artificial Intelligence Applications to the Environmental Science. American Meteorological Society (2003)
Nguyen, N.T., Truong, H.B.: Consensus-based Method for Fuzzy Ontology Integration. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010. LNCS (LNAI), vol. 6422, pp. 480–489. Springer, Heidelberg (2010)
Taylor, J.W., Buizza, R.: Neural network load forecasting with weather ensemble predictions. IEEE Transaction of Power System 17(3), 626–632 (2002)
Lu, J., Li, Y., Zhou, B., Kang, D., Zhang, Y.: Distributed reasoning with fuzzy description logics. In: International Conference on Computational Science, vol. (1), pp. 196–203 (2007)
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Truong, H.B., Nguyen, N.T., Nguyen, P.K. (2011). Fuzzy Ontology Building and Integration for Fuzzy Inference Systems in Weather Forecast Domain. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6591. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20039-7_52
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DOI: https://doi.org/10.1007/978-3-642-20039-7_52
Publisher Name: Springer, Berlin, Heidelberg
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