• DocumentCode
    1698985
  • Title

    Analytic Hierarchy Process and fuzzy evaluation of passengers´ satisfactory degree for QoS of railway passenger transportation

  • Author

    Deng, Pan ; Chuansheng, Zhang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2010
  • Firstpage
    5215
  • Lastpage
    5220
  • Abstract
    QoS (Quality of service) of railway passenger transportation is very important. Based on the thinking of passenger service, its evaluation indexes (or factors) are classified and disassembled into the multi-level structures, and form the hierarchal evaluating models. This paper discusses the deficiencies in 1-9 scaling method, and the frequency analysis method is introduced to compute the weight matrix of every evaluation indexes (or factors), and fractal conception and recursion thinking are applied to the research of passengers´ satisfactory degree. After investigating and analyzing the passengers´ satisfaction, the urgent problems, which railway passengers usually pay more attention to, are discovered. This paper provides the theory basis and directions in methods for improving the QoS of railway passenger transportation.
  • Keywords
    customer satisfaction; fuzzy set theory; quality of service; railways; QoS; analytic hierarchy process; fractal conception; frequency analysis; fuzzy evaluation; hierarchal evaluating models; passenger satisfactory degree; passenger service; quality of service; railway passenger transportation; recursion thinking; Artificial neural networks; Educational institutions; Indexes; Nickel; Quality of service; Rail transportation; fuzzy evaluation; quality of service (QoS); railway passenger transportation; satisfactory degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554881
  • Filename
    5554881