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Optimal spatial decision making using GIS: a prototype of a Real Estate Geographical Information System (REGIS) / T.Q. Zeng in International journal of geographical information science IJGIS, vol 15 n° 4 (june 2001)
[article]
Titre : Optimal spatial decision making using GIS: a prototype of a Real Estate Geographical Information System (REGIS) Type de document : Article/Communication Auteurs : T.Q. Zeng, Auteur ; Q. Zhou, Auteur Année de publication : 2001 Article en page(s) : pp 307 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] aide à la décision
[Termes IGN] immobilier (secteur)
[Termes IGN] logique floue
[Termes IGN] sous ensemble flou
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In the real estate business, it is a common understanding that the value and potential of a property are fundamentally determined by its location. This emphasises the significance of spatial factors in decision making in real estate. A geographical information system (GIS) is undoubtedly useful in this decision making. This paper reports on the development of a prototype real estate GIS (REGIS) by integrating fuzzy set (FZ) theory, a rule-based system (RBS) and GIS. The role of this system in the real estate business is in assisting decision makers for sellers and buyers, as well as property managers. For real estate agencies, the system can be used as an aid to selling and managing properties. For the buyers, the REGIS can function as a consultant in their decision making in purchasing properties. Methodologies are demonstrated using case studies. Developed as a generic tool with capabilities to deal with uncertainties, this prototype REGIS can also be applied to other fields, which involves optimal spatial decision making. Numéro de notice : A2001-040 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588101300304034 En ligne : https://doi.org/10.1080/136588101300304034 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21742
in International journal of geographical information science IJGIS > vol 15 n° 4 (june 2001) . - pp 307 - 321[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-01041 RAB Revue Centre de documentation En réserve L003 Disponible Rough classification and accuracy assessment / O. Ahlqvist in International journal of geographical information science IJGIS, vol 14 n° 5 (july 2000)
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Titre : Rough classification and accuracy assessment Type de document : Article/Communication Auteurs : O. Ahlqvist, Auteur ; J. Keukelaar, Auteur ; K. Oukbir, Auteur Année de publication : 2000 Article en page(s) : pp 475 - 496 Note générale : Bibliographie 1 page Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] classification
[Termes IGN] incertitude des données
[Termes IGN] information géographique
[Termes IGN] mesure de la qualité
[Termes IGN] précision sémantique
[Termes IGN] qualité des données
[Termes IGN] sous ensemble flouRésumé : (Auteur) In search for methods to handle imprecision in geographical information this paper explores the use of rough classification to represent uncertainty. Rough classification is based on rough set theory, where an uncertain set is specified by giving an upper and a lower approximation. Novel measures are presented to assess a single rough classification, to compare a rough classification to a crisp one and to compare two rough classifications. An extension to the error matrix paradigm is also presented, both for the rough-crisp and the roughrough cases. An experiment on vegetation and soil data demonstrates the viability of rough classification, comparing two incompatible vegetation classifications covering the same area. The potential uses of rough sets and rough classification are discussed and it is suggested that this approach should be further investigated as it can be used in a range of applications within geographic information science from data acquisition and analysis to metadata organization. Numéro de notice : A2000-126 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810050057605 En ligne : https://doi.org/10.1080/13658810050057605 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21542
in International journal of geographical information science IJGIS > vol 14 n° 5 (july 2000) . - pp 475 - 496[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-00051 RAB Revue Centre de documentation En réserve L003 Disponible Using auxiliary information to adjust fuzzy membership functions for improved mapping of soil qualities / T. Oberthur in International journal of geographical information science IJGIS, vol 14 n° 5 (july 2000)
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Titre : Using auxiliary information to adjust fuzzy membership functions for improved mapping of soil qualities Type de document : Article/Communication Auteurs : T. Oberthur, Auteur ; A. Dobermann, Auteur ; M. Aylward, Auteur Année de publication : 2000 Article en page(s) : pp 431 - 454 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] carte agricole
[Termes IGN] carte pédologique
[Termes IGN] classification dirigée
[Termes IGN] logique binaire
[Termes IGN] logique floue
[Termes IGN] rizière
[Termes IGN] sécheresse
[Termes IGN] sous ensemble flou
[Termes IGN] ThaïlandeRésumé : (Auteur) Agronomic soil management and decision-making frequently requires the joint classification of soil variables. Fuzzy set theory is often used to accomplish this task. This paper addresses the issues of objectively defining fuzzy membership functions (FMF) and reducing classification uncertainty with hedge operators. As an example, soil in North-east Thailand was classified according to its inherent potential to support the recovery of a rice crop after a drought spell. The utility of auxiliary information not directly included in the classification was explored.
A tree cover density index was employed for an objective definition of the FMF to classify soil organic matter content and plant-available potassium. Mapping units were allocated to classes having low, medium or high availability of these plant nutrients. It was shown that crisp, Boolean style classifications severely misclassify land in all but one class. Adjusted FMF decreased the uncertainty contained in thematic class maps. Single FMF values for soil organic matter and plant-available K were then jointly modelled and the soil classified as having low, medium and high potential for rice plants to recover from drought impacts. The very and more or less hedge operators were applied to increase or decrease the joint FMF values using farmer' knowledge about soil fertility. Overall classification uncertainty using FMF was decreased by 14% if the standard FMF was adjusted and the generated membership values were hedged. It was shown that adjusting FMF influenced the uncertainty components vagueness and ambiguity differently; the former increased slightly but the latter was drastically reduced.Numéro de notice : A2000-133 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810050057588 En ligne : https://doi.org/10.1080/13658810050057588 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21549
in International journal of geographical information science IJGIS > vol 14 n° 5 (july 2000) . - pp 431 - 454[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-00051 RAB Revue Centre de documentation En réserve L003 Disponible A fuzzy set approach for modelling time in GIS / Suzana Dragićević in International journal of geographical information science IJGIS, vol 14 n° 3 (april 2000)
[article]
Titre : A fuzzy set approach for modelling time in GIS Type de document : Article/Communication Auteurs : Suzana Dragićević, Auteur ; D. Marceau, Auteur Année de publication : 2000 Article en page(s) : pp 225 - 245 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] base de données localisées
[Termes IGN] dimension temporelle
[Termes IGN] données maillées
[Termes IGN] données multitemporelles
[Termes IGN] données spatiotemporelles
[Termes IGN] milieu urbain
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] Montréal (Québec)
[Termes IGN] sous ensemble flou
[Termes IGN] système d'information géographique
[Termes IGN] tempsRésumé : (Auteur) This paper describes an application of fuzzy set theory to perform temporal interpolation in a raster GIS database. Specific fuzzy membership functions have been derived to simulate spatial changes between consecutive snapshots registered in the database. The proposed approach is tested on a very dynamic rural-urban environment of Montreal Metropolitan area in Quebec, Canada, covering the period from 1956 to 1986 with a temporal resolution of ten years. A user friendly software package named FUZZY TEMP was developed and integrated in the GRASS 4.1 environment in order to perform the implementation of the developed concepts. Numéro de notice : A2000-017 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588100240822 En ligne : https://doi.org/10.1080/136588100240822 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21441
in International journal of geographical information science IJGIS > vol 14 n° 3 (april 2000) . - pp 225 - 245[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-00031 RAB Revue Centre de documentation En réserve L003 Disponible Fuzzy set theory and thematic maps: accuracy assessment and area estimation / Curtis E. Woodcock in International journal of geographical information science IJGIS, vol 14 n° 2 (march 2000)
[article]
Titre : Fuzzy set theory and thematic maps: accuracy assessment and area estimation Type de document : Article/Communication Auteurs : Curtis E. Woodcock, Auteur ; Sucharita Gopal, Auteur Année de publication : 2000 Article en page(s) : pp 153 - 172 Note générale : Bibliographie 1 page Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] carte de la végétation
[Termes IGN] Etats-Unis
[Termes IGN] forêt
[Termes IGN] précision
[Termes IGN] sous ensemble flouRésumé : (Auteur) Traditionally, the classes in thematic maps have been treated as crisp sets, using classical set theory. In this formulation, map classes are assumed to be mutually exclusive and exhaustive. This approach limits the ability of thematic maps to represent the continuum of variation found in most landscapes. Substitution of fuzzy sets allows more flexibility for treatment of map classes in the areas of accuracy assessment and area estimation. Accuracy assessment methods based on fuzzy sets allow consideration of the magnitude of errors and assessment of the frequency of ambiguity in map classes. An example of an accuracy assessment from a vegetation map of the Plumas National Forest illustrates the implementation of these methods. Area estimation based on fuzzy sets and using accuracy assessment data allows estimation of the area of classes as a function of levels of class membership. The fuzzy area estimation methods are an extension of previous methods presented by Card (1982). One interesting result is that the sum of the areas of the classes in a map need not be unity. This approach allows a wider range of queries within a GIS. Numéro de notice : A2000-237 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588100240895 En ligne : https://doi.org/10.1080/136588100240895 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21652
in International journal of geographical information science IJGIS > vol 14 n° 2 (march 2000) . - pp 153 - 172[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-00021 RAB Revue Centre de documentation En réserve L003 Disponible Recent issues on fuzzy databases / G. Bordonia (2000)PermalinkLogique floue / Bernadette Bouchon-Meunier (1998)PermalinkPrinciples of Geographical Information Systems / Peter A. Burrough (1998)PermalinkThe use of fuzzy set theory in remote sensing pattern recognition [L'utilisation de la théorie des ensembles flous dans la reconnaissance des structures par télédétection] / Manfred M. Fischer in Espace géographique, vol 26 n° 2 (avril - juin 1997)PermalinkEléments de logique floue / L. Gacogne (1997)PermalinkLa logique floue / J.R. Tong-Tong (1995)PermalinkLa logique floue et ses applications / Bernadette Bouchon-Meunier (1995)PermalinkAdvanced geographic data modelling / Martien Molenaar (1994)PermalinkBase aérienne militaire et missions opérationnelles, Volume 1. Mémoire / Pascal Legai (1993)PermalinkBase aérienne militaire et missions opérationnelles, Volume 2. Annexes / Pascal Legai (1993)Permalink