For many evaluation indexes and without the index's weight of railway passenger satisfaction, the original evaluation indexes are treated by using the reduction of rough set theory. The attribute significance of rough set is applied to allocate weight coefficient for the reduced factor indexes with more objective way, which overcomes the subjective factor of the traditional method of determining the weight. Finally, fuzzy comprehensive assessment method is used to get the last result and the accuracy of the assessment results is improved. So the result can enhance and improve the quality and level of railway transportation service, and it also can be the reference of improving the competitiveness of railway transportation.


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    Titel :

    Fuzzy Comprehensive Assessment for the Degree of Railway Passenger Satisfaction Based on Rough Set


    Beteiligte:
    Chen, Dingjun (Autor:in) / Ni, Shaoquan (Autor:in) / Li, Chengbing (Autor:in) / Guo, Qianqian (Autor:in)

    Kongress:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    29.07.2009




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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