Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liau, CJ | en_US |
dc.contributor.author | Liu, DR | en_US |
dc.date.accessioned | 2014-12-08T15:47:12Z | - |
dc.date.available | 2014-12-08T15:47:12Z | - |
dc.date.issued | 1999 | en_US |
dc.identifier.isbn | 3-540-66490-4 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/31669 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.title | A logical approach to fuzzy data analysis | en_US |
dc.type | Article; Proceedings Paper | en_US |
dc.identifier.journal | PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY | en_US |
dc.citation.volume | 1704 | en_US |
dc.citation.spage | 412 | en_US |
dc.citation.epage | 417 | en_US |
dc.contributor.department | 資訊管理與財務金融系 註:原資管所+財金所 | zh_TW |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000170570600051 | - |
Appears in Collections: | Conferences Paper |