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Architecture for a real estate analysis information system using GIS techniques integrated with Fuzzy theory

Author

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  • Elli Pagourtzi
  • Kostantinos Nikolopoulos

Abstract

Real Estate analysis in urban area is an important and very difficult task. The value of a property is primarily determined by its location. Thus a geographical information system (GIS) is of great importance in the evaluation process. In the last decade a very promising approach of dealing uncertainty in real estate analysis is Fuzzy theory due to the need of handling the large number of qualitative and quantitative variables that affect the value of an estate. This paper discusses the architecture for a decision support system for Real Estate analysis based on GIS techniques integrated with Fuzzy theory. In order to evaluate the system data were used from the urban area of P. Faliro in Attica basin of Greece.

Suggested Citation

  • Elli Pagourtzi & Kostantinos Nikolopoulos, 2004. "Architecture for a real estate analysis information system using GIS techniques integrated with Fuzzy theory," ERES eres2004_193, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2004_193
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    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2004-193
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    Cited by:

    1. d’Amato, Maurizio & Zrobek, Sabina & Renigier Bilozor, Malgorzata & Walacik, Marek & Mercadante, Giuseppe, 2019. "Valuing the effect of the change of zoning on underdeveloped land using fuzzy real option approach," Land Use Policy, Elsevier, vol. 86(C), pages 365-374.

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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