• DocumentCode
    3055605
  • Title

    A Highway Express Passenger Transportation Company Evaluation System Based on the Evidential Reasoning Approach

  • Author

    Zhou, Mi ; Liu, Xin-bao ; Qu, Hao ; Pei, Feng

  • Author_Institution
    Sch. of Manage., Hefei Univ. of Technol., Hefei, China
  • Volume
    2
  • fYear
    2009
  • fDate
    22-24 May 2009
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    The existing researches on highway express passenger transportation (HEPT) have been studied, and an improved evaluation attribute system of the assessment to HEPT company is constructed. Considering the disagreement in group of experts and the majority of uncertainties in the process of assessment to HEPT company, an evidential reasoning (ER) approach based HEPT company assessment model is proposed. In this assessment model, the weight of each attribute is calculated through group analytic hierarchy process (GAHP), and the values of all quantitative and qualitative attributes are aggregated by the ER approach. At last, intelligence decision system (IDS) software is applied for the simulation of assessment to HEPT company, the result of which makes great contribution to the decision making by management department of passenger transportation.
  • Keywords
    case-based reasoning; group decision support systems; traffic engineering computing; transportation; evidential reasoning approach; group analytic hierarchy process; highway express passenger transportation company evaluation system; intelligence decision system software; Aggregates; Electronic commerce; Erbium; Intelligent transportation systems; Intrusion detection; Quality management; Road transportation; Security; Technology management; Uncertainty; Evidential Reasoning; Group Analytic Hierarchy Process; Highway Express Passenger Transportation; IDS; MADA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3643-9
  • Type

    conf

  • DOI
    10.1109/ISECS.2009.58
  • Filename
    5209703