• DocumentCode
    3538892
  • Title

    Using Fuzzy Measures to Assess Service Satisfaction Values of Retailers

  • Author

    Song Zhou ; Yong Li

  • Author_Institution
    Dept. of Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    388
  • Lastpage
    392
  • Abstract
    A fuzzy approach to assess service satisfaction values of retailers is discussed in this paper, which has been developed from fuzzy assessment methods and applied to questionnaire analysis of retailers´ service satisfaction. Subjective judgments are often vague and it is not easy for retailers to express the satisfaction of service quality using an exact numerical value, and suggest the necessity of using a fuzzy approach. Applying the fuzzy approach, service satisfaction values are identified and organized into five basic service types service of client manager, ordering service, delivering service, consulting and complaint service, and business environment. Finally, the uncertainties of the service satisfaction value sets are quantified by the measure of fuzzy entropy.
  • Keywords
    customer satisfaction; entropy; fuzzy set theory; retailing; business environment; client manager service; complaint service; consulting service; delivering service; fuzzy approach; fuzzy assessment methods; fuzzy entropy measures; ordering service; questionnaire analysis; retailer service satisfaction value assessment; service quality satisfaction; Accuracy; Business; Entropy; Fuzzy sets; Measurement uncertainty; Reliability; Uncertainty; Service satisfaction; fuzzy entropy; fuzzy sets; value assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-4825-6
  • Type

    conf

  • DOI
    10.1109/APSCC.2012.31
  • Filename
    6478250