I-Hong Kuo

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Keywords: Forecasting Two-factors Fuzzy relationships Fuzzy time series Modify turbulent particle swarm optimization a b s t r a c t In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO) method for the temperature prediction and the Taiwan Futures Exchange (TAIFEX) forecasting, based on the two-factor fuzzy time series(More)
ODGOMS is a multi-strategy ontology matching system which consists of elemental level, structural level, and optimization level strategies. When it starts to match ontologies, it first exploits appropriate string-based and token-based similarity computing strategies to find preliminary aligned results, and then it filters these results and merges them by(More)