• DocumentCode
    1724528
  • Title

    A multi-attribute decision analysis method based on rough sets dealing with uncertain information

  • Author

    Hu Ming-li ; Shen Fei-fei ; Chen Ya-huan

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • Firstpage
    576
  • Lastpage
    581
  • Abstract
    Information in emergency situation are always uncertain, which presents as incomplete or inaccurate. As a consequence, it is difficult to make decision correctly and rapidly enough in an emergency. A multi-attribute decision making method is proposed based on the concept of extended dominance relation and variable precision rough sets in this paper. Firstly, the definitions of extended dominance relation and variable precision rough sets are introduced in detail. Secondly, two types of extended dominance rules are obtained from the pairwise comparison table. Thirdly, a scoring function is defined and sorted to score all the objects. Finally, a case about the emergency decision making after an earthquake is discussed to demonstrate the feasibility and efficiency of the method.
  • Keywords
    decision making; emergency services; rough set theory; dominance relation; dominance rule; emergency situation; multiattribute decision analysis; multiattribute decision making method; pairwise comparison table; rough set; scoring function; uncertain information; variable precision; Probabilistic logic; Variable speed drives; emergency decision making; extended dominance relation; pairwise comparison table; variable precision rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6043984
  • Filename
    6043984