Imprecise information in multidimensional data analysis
LU Chang-hui, Dong-Fen Hou, Xuchong Liu, Qingbao Liu, Su Deng · 2010
In multidimensional data analysis, the facts have different granularities, the membership relation of dimension levels are partially contained, such factors will affect the results' veracity and validity. This paper describes the imprecise information caused by the above factors, espectially analyses the impact on group and aggregate operaters, and gives pessimism, optimism and compromise three different approaches to handle with these imprecise information.