IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Defining Urban Complex Problems with Fuzzy Analysis: The Case of Söke Settlement in Turkey

Listed author(s):
  • Senem Kozaman


  • Betul Sengezer
  • Emrah Altinok
Registered author(s):

    This article aims to follow the application of fuzzy approach in the analysis of urban complex problems; classifying urban problems according to different criteria. It proposes a methodology to combine different dimensions of quality of life, with the economic (income, employment), social (education) physical (health and infrastructure) indicators into Quality of Life Index (QLI) by applying Totally Fuzzy Analysis (TFA). The objective of the present work is to identify, based on survey data of Söke settlement in Turkey, to define the sub zones according to life quality indicators. The sample for the survey is designed to provide representative samples of private households in Söke. A stratified random sample is selected such that every sampling unit in the population has an equal probability of being selected for the sample. From the population of 14582 housing units in Söke, a sample size of 366 was chosen. As a result, 366 households were interviewed without missing. The indicators that have been used for the fuzzy model consist of three main blocks. The first one in the indicators that describe development of socio-economic system is the economic indicators such as urban poverty (income and expenditures), property ownership, employment and attributes of the labor force. The second one is physical indicators that consist of availability of residential services, housing density and the quality of housing units. The third one is the social indicators which can be described as household profile, cultural expenditures and life patterns. The goal is achieved by applying a new and straightforward method of GIS and fuzzy logic. This methodology was applied in the study area and the results presented in the form of tables and maps. The results revealed that there are spatial, social and economic disparities in some parts of the area. The findings indicate that the fuzzy technics are powerful analytic tools for helping planners define urban complex problems and to see relations between social, economic and physical factors.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa11p1734.

    in new window

    Date of creation: Sep 2011
    Handle: RePEc:wiw:wiwrsa:ersa11p1734
    Contact details of provider: Postal:
    Welthandelsplatz 1, 1020 Vienna, Austria

    Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa11p1734. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.