Close category search window
 

A novel approach to discovering the pattern of customer

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
$31 $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)
Tao Zhang ; Sch. of Econ. & Manage., Tongji Univ., Shanghai, China ; Xu Xu

Practicing customer (owner) retention in construction management is very important. Despite existing the importance of owner retention in many projects, there is a lack of a comprehensive and effective approach to realize it fully. According to these conditions, intuitionistic fuzzy set theory, alpha-cuts, expert domain knowledge are employed to discovery the pattern of owner retention under the context of domain-driven data mining methodology in this paper. The proposed approach is not only expatiated by an example, but also is proved by the experiments. In short, the approach provides a route to guide the further research concerning owner retention.

Published in:
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Date of Conference: 20-24 Aug. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.