Fuzzy Reliability in Spatial Databases
Joint Authors
Sessa, Salvatore
Di Martino, Ferdinando
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Mathematics
Information Technology and Computer Science
Topics
Abstract EN
Today it is very difficult to evaluate the quality of spatial databases, mainly for the heterogeneity of input data.
We define a fuzzy process for evaluating the reliability of a spatial database: the area of study is partitioned in isoreliable zones, defined as homogeneous zones in terms of data quality and environmental characteristics.
We model a spatial database in thematic datasets; each thematic dataset concerns a specific spatial domain and includes a set of layers.
We estimate the reliability of each thematic dataset and therefore the overall reliability of the spatial database.
We have tested this method on the spatial dataset of the town of Cava de' Tirreni (Italy).
American Psychological Association (APA)
Di Martino, Ferdinando& Sessa, Salvatore. 2013. Fuzzy Reliability in Spatial Databases. Advances in Fuzzy Systems،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-446967
Modern Language Association (MLA)
Di Martino, Ferdinando& Sessa, Salvatore. Fuzzy Reliability in Spatial Databases. Advances in Fuzzy Systems No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-446967
American Medical Association (AMA)
Di Martino, Ferdinando& Sessa, Salvatore. Fuzzy Reliability in Spatial Databases. Advances in Fuzzy Systems. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-446967
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-446967
