@InProceedings{CarnielCifeCife:2015:AbDaTy,
author = "Carniel, Anderson Chaves and Ciferri, Ricardo Rodrigues and
Ciferri, Cristina Dutra de Aguiar",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade Federal
de S{\~a}o Carlos (UFSCar)} and {Universidade de S{\~a}o Paulo
(USP)}",
title = "An abstract data type to handle vague spatial objects based on the
fuzzy model",
booktitle = "Anais...",
year = "2015",
editor = "Fileto, Renato and Korting, Thales Sehn",
pages = "210--221",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Crisp spatial data are geometric features with exact location on
the extent and well-known boundaries. On the other hand, vague
spatial data are characterized by inaccurate locations or
uncertain boundaries. Despite the importance of vague spatial data
in spatial applications, few related work indeed implement vague
spatial data and they do not define abstract data types to enable
the management of vague spatial data by using database management
systems. In this sense, we propose the abstract data type
FuzzyGeometry to handle vague spatial data based on the fuzzy
model. FuzzyGeometry was developed as a PostgreSQL extension and
its implementation is open source. It offers management for fuzzy
points and fuzzy lines. As a result, spatial applications are able
to access the PostgreSQL to handle vague spatial objects.",
conference-location = "Campos do Jord{\~a}o",
conference-year = "27 nov. a 02 dez. 2015",
issn = "2179-4820",
language = "en",
ibi = "8JMKD3MGPDW34P/3KP37UP",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP37UP",
targetfile = "proceedings2015_p21.pdf",
urlaccessdate = "28 abr. 2024"
}