Fuzzy ontology building and integration for fuzzy inference systems inweather forecast domain

Authors:
Hai Bang Truong;Ngoc Thanh Nguyen;Phi Khu Nguyen
Affiliations:
University of Information Technology, Ho Chi Minh City, Vietnam;Institute of Informatics, Wroclaw University of Technology, Poland;University of Information Technology, Ho Chi Minh City, Vietnam
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Year:
2011

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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.