By Topic

Using Fuzzy Measures to Assess Service Satisfaction Values of Retailers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Song Zhou ; Dept. of Autom., Kunming Univ. of Sci. & Technol., Kunming, China ; Yong Li

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.

Published in:

Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific

Date of Conference:

6-8 Dec. 2012