• DocumentCode
    3416286
  • Title

    The Applications of Rough Set Theory in Civil Engineering

  • Author

    Wang, Weijie ; Ren, Gang ; Wang, Wei

  • Author_Institution
    Sch. of Transp., Southeast Univ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    27
  • Lastpage
    31
  • Abstract
    This paper focuses on the comprehensive review of the literature on applications of rough set theory in Civil Engineering. The relationships between rough set theory and other mathematical methods, such as conventional statistical methods, fuzzy sets, and evidence theory, are briefly introduced. The applications of rough set theory in Civil Engineering are discussed in structure engineering, pavement engineering, traffic engineering, transportation engineering, land management, and water resources management. The great majority of civil engineering applications of rough set theory are based on the rule induction. Recent works on integration of rough set theory with other computing paradigms such as genetic algorithm, fuzzy logic, evidence theory are presented.
  • Keywords
    civil engineering; fuzzy set theory; genetic algorithms; rough set theory; statistical analysis; civil engineering; evidence theory; fuzzy logic; fuzzy sets; genetic algorithm; land management; pavement engineering; rough set theory; statistical methods; structure engineering; traffic engineering; transportation engineering; water resources management; Accidents; Artificial neural networks; Civil engineering; Fuzzy sets; Statistical analysis; Uncertainty; application; civil engineering; pavement engineering; rough sets theory; structure engineering; traffic engineering; transportation engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.13
  • Filename
    5656573