Abstract
This paper presents the conceptual framework of fuzzy intelligent decision support system for typhoon disaster management. The typhoon risk management pattern was mentioned in the first section. Several types of database should be established in the decision support system. There are three steps to predict the typhoon risk. The first one is the feature extraction of typhoon pattern. The second one is the damage estimation by case base reasoning method. And the third one is the linguistic estimation of typhoon risk. An example of risk evaluation from the experiment data shows that the decision supporting system can be further improved if there is a complete and accurate dataset in this system.
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