A logical approach to fuzzy data analysis

Churn Jung Liau, Duen-Ren Liu

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings
編輯Jan Rauch, Jan M. Żytkow
發行者Springer Verlag
頁面412-417
頁數6
ISBN(列印)3540664904, 9783540664901
DOIs
出版狀態Published - 1 一月 1999
事件3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999 - Prague, Czech Republic
持續時間: 15 九月 199918 九月 1999

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1704
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999
國家Czech Republic
城市Prague
期間15/09/9918/09/99

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