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  • 标题:Modelling Data Quality with Possibility- Distributions
  • 本地全文:下载
  • 作者:G. Navratil
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2007
  • 卷号:XXXVI-2/C43
  • 出版社:Copernicus Publications
  • 摘要:Description of data quality relies heavily on numbers. When dealing with data sets, which have been collected during longer periods, however, variation in the data quality will become evident. Older data may have different quality than newer data and other aspects including height or acces- sibility may influence the quality of parts of the data set. Precise numbers do not reflect this varia- tion, thus I propose the use of fuzzy numbers to specify data quality. Fuzzy numbers are based on the specification of a distribution function. The distribution function may be a probability or a possibility function. Probability is more difficult to determine than possi- bility. Still, the possibility function may provide all information relevant for the user. Thus, provid- ing the possibility function may be sufficient to improve the data quality description. The paper uses the Austrian cadastre as an example. The separation between legal and technical in- fluences allows the specification of the possibility distributions. The example is restricted to tempo- ral and positional accuracy and completeness. The assumption of quality requirements of two user groups finally allows assessing the fitness for use based on the possibility distributions
  • 关键词:GIS; Data Quality; Metadata; Modelling; Fuzzy Logic; Possibility Theory; Inter- ; operability
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