Cartographic representation of the uncertainty related to natural disaster risk: overview and state of the art

Authors:
Junxiang Zhang;Chongfu Huang
Affiliations:
College of Resources Science & Technology, Beijing Normal University, Beijing, China;College of Resources Science & Technology, Beijing Normal University, Beijing, China
Venue:
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
Year:
2004

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Abstract

There is no believable risk map because of the tremendous imprecision of the risk assessment due to the incomplete-data set. To improve the probability estimation, the fuzzy set methodology was introduced into the area of risk assessment with respect to natural disasters. A fuzzy risk represented by a possibility-probability distribution, which is calculated by employing the interior-outer-set model, can represent the imprecision of risk assessments with a small sample. Thus, by using the fuzzy set methodology, we can provide a soft risk map which can accommodate the imprecision of risk assessment. Soft risk map can be adopted as a useful tool for the representation and reasoning of uncertainty of risk assessments due to incompleteness in real-world applications.