Referenced Items are not available for this document.
Multi-criteria fuzzy clustering problems are kind of common problems in decision-making and data mining. A method for modeling multi-criteria problems based on vague set theory is used in this paper. Each object in a universe of discourse is represented by a vague set in this model, then similar objects can be clustered into a subgroup after similarity measure between corresponding vague sets. The proposed method can solve the multi-criteria fuzzy clustering problems in a reasonable and reliable way.
Published in:
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
(Volume:1
)
Date of Conference: 24-27 Aug. 2007
- Page(s):
- 196 - 200
- Print ISBN:
- 978-0-7695-2874-8
- INSPEC Accession Number:
- 9909072
- Conference Location :
- Haikou
- Digital Object Identifier :
- 10.1109/FSKD.2007.413
- Product Type:
- Conference Publications
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.
