Incorporating fuzzy set methodologies in a dbms repository for the application domain of gis

Emmanuel Stefanakis; Michael Vazirgiannis; Timos Sellis

doi:10.1080/136588199241058

Incorporating fuzzy set methodologies in a dbms repository for the application domain of gis

Emmanuel Stefanakis
, Michael Vazirgiannis
, Timos Sellis

Department of Electrical and Computer Engineering
National Technical University of Athens
Lehrgebiet Praktische Informatik IV
Department of Informatics, Athens University of Economics and Business

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

It has been recently recognized that fuzzy set theory provides useful concepts and tools for both the representation and analysis of the uncertainty related to geographical data. Hence the incorporation of fuzzy set methodologies into a DBMS repository for the application domain of GIS should be beneficial and will improve its level of intelligence. Focusing in this area the paper addresses both a representation and a reasoning issue. Specifically, it extends a general spatial data model to deal with the uncertainty of geographical entities, and shows how the standard data interpretation operations available in GIS packages may be extended to support the fuzzy spatial reasoning. Representative geographical operations, suchas the fuzzy overlay, fuzzy distance and fuzzy select, are examined, while several real world examples are given.

Original language	English
Pages (from-to)	657-675
Number of pages	19
Journal	International Journal of Geographical Information Science
Volume	13
Issue number	7
DOIs	https://doi.org/10.1080/136588199241058
Publication status	Published - 1 Jan 1999
Externally published	Yes

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Incorporating fuzzy set methodologies in a dbms repository for the application domain of gis

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