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dc.contributor.authorLuo, Xudong
dc.contributor.authorDai, Honghua
dc.contributor.authorZhang, Chengqi
dc.date.accessioned2009-08-23T04:39:43Z
dc.date.accessioned2020-05-25T06:25:59Z-
dc.date.available2009-08-23T04:39:43Z
dc.date.available2020-05-25T06:25:59Z-
dc.date.issued2006-10-23T01:19:05Z
dc.date.submitted1998-12-17
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2124-
dc.description.abstractIn fuzzy logic, the weight problem is very important. Some models have been established for solving the problem. However, the acquisition of weights in fuzzy logic is still a problem yet to be solved. Based on a class of relative weighted models, this paper provides a method to acquire weights from incomplete data.
dc.description.sponsorship成功大學,台南市
dc.format.extent5p.
dc.format.extent310700 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1998 ICS會議
dc.subject.otherNeural Networks
dc.titleA Method to Learn Weights from Incomplete Data
分類:1998年 ICS 國際計算機會議

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