Abstract
This paper develops a framework for creating fuzzy decision rules by socio-economic variables, transactional record variables and customer benefit variables. Fuzzy decision rules may be applied on marketing systems of businesses. This research uses fuzzy k-means algorithm and C4.5 decision tree algorithm to generate fuzzy decision rules. The framework is applied on the air passenger market of Taiwan for an empirical case study. Results of this research found two non-fuzzy (crisp) decision rules and two fuzzy decision rules, which can be applied on the customer relationship management systems of airlines. Copyright © 2010 John Wiley & Sons, Ltd.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
