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RANDOM SETS: A UNIFIED FRAMEWORK FOR MULTISOURCE INFORMATION FUSION 被引量:3
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作者 Xu Xiaobin Wen Chenglin 《Journal of Electronics(China)》 2009年第6期723-730,共8页
The more diverse the ways and means of information acquisition are,the more complex and various the types of information are. The qualities of available information are usually uncertain,vague,imprecise,incomplete,and... The more diverse the ways and means of information acquisition are,the more complex and various the types of information are. The qualities of available information are usually uncertain,vague,imprecise,incomplete,and so on. However,the information is modeled and fused traditionally in particular,name some of the known theories: evidential,fuzzy sets,possibilistic,rough sets or conditional events,etc. For several years,researchers have explored the unification of theories enabling the fusion of multisource information and have finally considered random set theory as a powerful mathematical tool. This paper attempts to overall review the close relationships between random set theory and other theories,and introduce recent research results which present how different types of information can be dealt with in this unified framework. Finally,some possible future directions are discussed. 展开更多
关键词 multisource information fusion Random set theory Imperfect information
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Dealing with Multisource Information for Estuarine Flood Risk Appraisal in Two Western European Coastal Areas
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作者 Ana Rodrigues Rilo Alexandre Manuel de Oliveira Soares Tavares +1 位作者 Paula Maria dos Santos Freire JoséLuis Zêzere 《International Journal of Disaster Risk Science》 SCIE CSCD 2022年第2期199-213,共15页
Estuaries are usually affected by compound flooding triggers that cause diverse territorial damages.While fluvial flood risk assessment frameworks are well established in the literature,integrated management instrumen... Estuaries are usually affected by compound flooding triggers that cause diverse territorial damages.While fluvial flood risk assessment frameworks are well established in the literature,integrated management instruments that deal with estuarine flood risk remain incomplete and often lacking.This research presents a methodology to extract relevant information from multiple sources post-event and a database building process that is applied to two contrasting estuaries(the Tagus River estuary in Portugal,and the Shannon River estuary in Ireland)in the Western European coastal area.Overall,a total of 274 documents were analyzed and the information was stored in two databases.Multiple correspondence analysis was applied to extract the most informative and relevant estuarine flood indicators.An integrated estuarine flood risk assessment framework is presented and discussed based on the extracted indicators.The framework is driven by two distinct dimensions(oceanic and hydrographic)and revealed the transversal position of triggers of estuarine floods,reflecting the compounding effects usually present in these areas.The results also highlight two levels of flood risk mostly based on damage typology. 展开更多
关键词 Estuarine floods Estuarine flood indicators Multiple correspondence analysis Post-hazard multisource information Western Europe
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