Analysing customer satisfaction surveys using a fuzzy rule-based decision support system: Enhancing customer relationship management

  • Ammar S
  • Moore D
  • Wright R
N/ACitations
Citations of this article
29Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Customer satisfaction is an important goal for providers of both services and products, and customer surveys are a commonly used instrument for evaluating that satisfaction. A number of analytical tools are available to assist in the analysis of these surveys. However, under a variety of circumstances, each of these tools has limitations that could seriously restrict their value to marketing managers. This paper describes an innovative approach based on the use of fuzzy-rule-based systems and includes an illustration of the use of the methodology to analyse a customer satisfaction survey conducted by the corporate information division of a major US electric utility.Journal of Database Marketing & Customer Strategy Management (2008) 15, 91–105. doi:10.1057/dbm.2008.2; published online 12 May 2008 [ABSTRACT FROM AUTHOR]

Cite

CITATION STYLE

APA

Ammar, S., Moore, D., & Wright, R. (2008). Analysing customer satisfaction surveys using a fuzzy rule-based decision support system: Enhancing customer relationship management. Journal of Database Marketing & Customer Strategy Management, 15(2), 91–105. https://doi.org/10.1057/dbm.2008.2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free