Fuzzy Reliability in Spatial Databases | Zendy

Ferdinando Di Martino | Zendy; Salvatore Sessa | Zendy

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Fuzzy Reliability in Spatial Databases

Author(s) -

Ferdinando Di Martino,

Salvatore Sessa

Publication year - 2013

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2013/107358

Subject(s) - thematic map , reliability (semiconductor) , database , spatial database , computer science , data mining , fuzzy logic , set (abstract data type) , spatial analysis , quality (philosophy) , data set , geography , cartography , artificial intelligence , remote sensing , programming language , power (physics) , philosophy , physics , epistemology , quantum mechanics

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)

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