@inproceedings{28147a20298c4ac093c8cec26f5d9762,
title = "A logical approach to fuzzy data analysis",
abstract = "In this paper, we investigate the extraction of fuzzy rules from data tables based on possibility theory. A possibilistic decision language is used to represent the extracted fuzzy rules. The algorithm for rule extraction is presented and the complexity analysis is carried out. Since the results of the rule induction process strongly depend on the representation language, we also discuss some approach for dynamic adjustment of the language based on the data.",
author = "Liau, {Churn Jung} and Duen-Ren Liu",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999 ; Conference date: 15-09-1999 Through 18-09-1999",
year = "1999",
doi = "10.1007/978-3-540-48247-5_51",
language = "English",
isbn = "3540664904",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "412--417",
editor = "{\.Z}ytkow, {Jan M.} and Jan Rauch",
booktitle = "Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings",
address = "德國",
}