• DocumentCode
    1931694
  • Title

    The application of fuzzy connectives and inverse operations on R-fuzzy descriptors of the static conditions of residential buildings

  • Author

    Bukovics, Adam ; Koczy, Laszlo T.

  • Author_Institution
    Dept. of Struct. & Geotech. Eng., Szechenyi Istvan Univ., Gyor, Hungary
  • fYear
    2012
  • fDate
    20-22 Nov. 2012
  • Firstpage
    433
  • Lastpage
    437
  • Abstract
    A considerable part of the current stock of residential buildings in Budapest was built at the end of the 19th and in the beginning of the 20th century (Figure 1). In the course of our research work a great many detailed technical and static expert reports on residential buildings in Budapest built in this time period were available. On the basis of these expert reports a database was created for the purpose of analysis of the structure of the buildings and of building diagnostics (Figure 2), and in order to prepare a fuzzy signautre-based status defining and ranking model. The database was created by processing a reliable set of data, which, in this way is a large representative pattern, the analysis whereof enables us to draw scientific conclusions. So far nobody has processed the expert reports from the scientific point of view, so no synthetised results were available to date.
  • Keywords
    buildings (structures); condition monitoring; fuzzy set theory; structural engineering computing; Budapest; R-fuzzy descriptors; building diagnostics; current stock; fuzzy connectives; fuzzy signautre-based status defining model; fuzzy signautre-based status ranking model; inverse operations; research work; residential buildings; static expert reports; technical expert reports;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4673-5205-5
  • Electronic_ISBN
    978-1-4673-5210-9
  • Type

    conf

  • DOI
    10.1109/CINTI.2012.6496805
  • Filename
    6496805