• DocumentCode
    127403
  • Title

    The application of Dempster-Shafer theory in soft information management of construction projects

  • Author

    Jia Ruo-yu ; Yuan Jing-feng ; Li Qi-ming ; Chen Yan

  • Author_Institution
    Dept. of Constr. & Real Estate, Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    17-19 Aug. 2014
  • Firstpage
    1814
  • Lastpage
    1819
  • Abstract
    This paper focuses on the problems concerning soft information management in construction projects. Firstly, it is stated in the paper that soft information managements pertains to uncertain language multi-attribute group decision- making problem of incomplete information. Further, a decision model regarding soft information management in construction projects is built on the foundation of 1) the process of linguistic variables and 2) the uncertain language multi-attribute group decision-making model based on Dempster-Shafer theory. Soft information is difficult to quantify and can easily get lost when spreading among different units and the previous mentioned method can be better applied to solve these problems. In the end of this paper, empirical study is taken to confirm the efficiency and scientificalness of this method.
  • Keywords
    construction industry; decision making; inference mechanisms; information management; project engineering; uncertainty handling; Dempster-Shafer theory; construction projects; decision model; linguistic variables; soft information management; uncertain language multiattribute group decision-making problem; Kernel; Permeability; Pragmatics; construction projects; dempster-shafer theory; incomplete information; soft information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science & Engineering (ICMSE), 2014 International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4799-5375-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2014.6930455
  • Filename
    6930455