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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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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