Fuzzy reliability in spatial databases

Authors:
Ferdinando Di Martino;Salvatore Sessa
Affiliations:
Dipartimento di Architettura, Università degli Studi di Napoli Federico II, Napoli, Italy;Dipartimento di Architettura and Centro Interdipartimentale per l'Analisi e la Progettazione Urbana Luigi Pisciotti, Università degli Studi di Napoli Federico II, Napoli, Italy
Venue:
Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems
Year:
2013

Citing 3
Cited 0

Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems

Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Spatial analysis with a tool GIS via systems of fuzzy relation equations

ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Spatial analysis and fuzzy relation equations

Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms: Theoretical Aspects and Applications to Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

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).