An Abstract Data Type to Handle Vague Spatial Objects Based on the Fuzzy Model

نویسندگان

  • Anderson Chaves Carniel
  • Ricardo Rodrigues Ciferri
  • Cristina Dutra de Aguiar Ciferri
چکیده

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.

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تاریخ انتشار 2015