標題: A logical approach to fuzzy data analysis
作者: Liau, CJ
Liu, DR
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
公開日期: 1999
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.
URI: http://hdl.handle.net/11536/31669
ISBN: 3-540-66490-4
ISSN: 0302-9743
期刊: PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
Volume: 1704
起始頁: 412
結束頁: 417
Appears in Collections:Conferences Paper