@inproceedings{c6020b11866f441695c6d739fc563b77,
title = "Compatible parameters for semantic measurement in extended fuzzy relational databases",
abstract = "Database integration is much more complex in the context of fuzzy databases than in classical databases due to the measurement of the closeness of attribute values. In extended possibility-based fuzzy relational databases, the measurement comprises parameters in addition to attribute values. As the parameters used in databases are different, the closeness of the same pairs of attribute values will not be the same. It leads into the problem in defining the data redundancy consistently after data integration. However, the requirement of employing identical parameters in different databases is too stern to follow. This paper studies the closeness of attribute values varying from parameters of the measurement, and provides a flexible guide to define the parameters in fuzzy databases to be integrated.",
keywords = "Data integration, Fuzzy databases, Proximity relations",
author = "Liu, \{Julie Yu Chih\} and Chang, \{Tsu Hao\}",
year = "2003",
language = "English",
isbn = "1932415122",
series = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",
publisher = "CSREA Press",
pages = "988--993",
editor = "H.R. Arabnia and R. Joshua and Y. Mun",
booktitle = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",
note = "2003 International Conference on Artificial Intelligence, IC-AI 2003 ; Conference date: 23-06-2003 Through 26-06-2003",
}