A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems

Spatial data quality has been attracting much interest. Much of the problem lies in the degree to which current data structures are unable to model the real world and the way imperfections in the data may propagate during analyses and cast doubt on the validity of the outcomes. Much of the research...

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Autor principal: Allan Brimicombe
Formato: article
Lenguaje:DE
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PT
Publicado: Unité Mixte de Recherche 8504 Géographie-cités 1998
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GIS
Acceso en línea:https://doaj.org/article/a1f47c402f4f4ab49aa6f342e7bf7478
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spelling oai:doaj.org-article:a1f47c402f4f4ab49aa6f342e7bf74782021-12-02T11:11:05ZA Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems1278-336610.4000/cybergeo.560https://doaj.org/article/a1f47c402f4f4ab49aa6f342e7bf74781998-12-01T00:00:00Zhttp://journals.openedition.org/cybergeo/560https://doaj.org/toc/1278-3366Spatial data quality has been attracting much interest. Much of the problem lies in the degree to which current data structures are unable to model the real world and the way imperfections in the data may propagate during analyses and cast doubt on the validity of the outcomes. Much of the research has concentrated on the quantitative accuracy of spatial data, the derivation of indices and their propagation through analyses. Geographical data invariably includes an element of interpretation for which linguistic hedges of uncertainty may be generated. The paper presents a new technique of handling such expressions in a GIS through fuzzy expectation - intuitive probabilities linked to stylized fuzzy sets. By using fuzzy expectation as linguistic building blocks, many of the difficulties in using fuzzy set descriptors in GIS have been overcome. The stylized fuzzy sets can be propagated using Boolean operators to give a resultant fuzzy set which can be ‘translated’ back into a linguistic quality statement. For the first time, linguistic criteria of fitness-for-use can be derived for GIS outputs regardless of the language being used.Allan BrimicombeUnité Mixte de Recherche 8504 Géographie-citésarticlefuzzy setsGISuncertaintyGeography (General)G1-922DEENFRITPTCybergeo (1998)
institution DOAJ
collection DOAJ
language DE
EN
FR
IT
PT
topic fuzzy sets
GIS
uncertainty
Geography (General)
G1-922
spellingShingle fuzzy sets
GIS
uncertainty
Geography (General)
G1-922
Allan Brimicombe
A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems
description Spatial data quality has been attracting much interest. Much of the problem lies in the degree to which current data structures are unable to model the real world and the way imperfections in the data may propagate during analyses and cast doubt on the validity of the outcomes. Much of the research has concentrated on the quantitative accuracy of spatial data, the derivation of indices and their propagation through analyses. Geographical data invariably includes an element of interpretation for which linguistic hedges of uncertainty may be generated. The paper presents a new technique of handling such expressions in a GIS through fuzzy expectation - intuitive probabilities linked to stylized fuzzy sets. By using fuzzy expectation as linguistic building blocks, many of the difficulties in using fuzzy set descriptors in GIS have been overcome. The stylized fuzzy sets can be propagated using Boolean operators to give a resultant fuzzy set which can be ‘translated’ back into a linguistic quality statement. For the first time, linguistic criteria of fitness-for-use can be derived for GIS outputs regardless of the language being used.
format article
author Allan Brimicombe
author_facet Allan Brimicombe
author_sort Allan Brimicombe
title A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems
title_short A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems
title_full A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems
title_fullStr A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems
title_full_unstemmed A Fuzzy Set Approach to Using Linguistic Hedges in Geographical Information Systems
title_sort fuzzy set approach to using linguistic hedges in geographical information systems
publisher Unité Mixte de Recherche 8504 Géographie-cités
publishDate 1998
url https://doaj.org/article/a1f47c402f4f4ab49aa6f342e7bf7478
work_keys_str_mv AT allanbrimicombe afuzzysetapproachtousinglinguistichedgesingeographicalinformationsystems
AT allanbrimicombe fuzzysetapproachtousinglinguistichedgesingeographicalinformationsystems
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