完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Wang, CH | en_US |
dc.contributor.author | Hong, TP | en_US |
dc.contributor.author | Tseng, SS | en_US |
dc.date.accessioned | 2014-12-08T15:45:16Z | - |
dc.date.available | 2014-12-08T15:45:16Z | - |
dc.date.issued | 2000-05-16 | en_US |
dc.identifier.issn | 0165-0114 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/30515 | - |
dc.description.abstract | Ln this paper, we propose a GA-based fuzzy knowledge-integration framework that can simultaneously integrate multiple fuzzy rule sets and their membership function sets. The proposed two-phase approach includes fuzzy knowledge encoding and fuzzy knowledge integration. In the encoding phase, each fuzzy rule set with its associated membership functions is first transformed into an intermediary representation, and further encoded as a string. The combined strings form an initial knowledge population which is then ready for integration. In the knowledge-integration phase. a genetic algorithm is used to generate an optimal or nearly optimal set of fuzzy rules and membership functions from the initial knowledge population. The hepatitis diagnostic problem was used to show the performance of the proposed knowledge-integration approach. Results show that the fuzzy knowledge-base resulting from using our approach performs better than every individual knowledge base. (C) 2000 Elsevier Science B.V. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | expert systems | en_US |
dc.subject | fuzzy machine learning | en_US |
dc.subject | fuzzy sets | en_US |
dc.subject | knowledge acquisition | en_US |
dc.subject | membership functions | en_US |
dc.subject | operators | en_US |
dc.title | Integrating membership functions and fuzzy rule sets from multiple knowledge sources | en_US |
dc.type | Article | en_US |
dc.identifier.journal | FUZZY SETS AND SYSTEMS | en_US |
dc.citation.volume | 112 | en_US |
dc.citation.issue | 1 | en_US |
dc.citation.spage | 141 | en_US |
dc.citation.epage | 154 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000086088800010 | - |
dc.citation.woscount | 39 | - |
顯示於類別: | 期刊論文 |