Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/65645
DC FieldValueLanguage
dc.contributor應數系en_US
dc.creator吳柏林zh_TW
dc.creatorWu, Berlinen_US
dc.creatorLai, Wentsungen_US
dc.creatorWu, Ching-Lingen_US
dc.creatorTien-Liu,Tsung-Kuoen_US
dc.date2013.04en_US
dc.date.accessioned2014-04-28T09:42:19Z-
dc.date.available2014-04-28T09:42:19Z-
dc.date.issued2014-04-28T09:42:19Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/65645-
dc.description.abstractIn this paper we will provide the definition of fuzzy mode, related characteristics, and proofs. By discussing these characteristics, data analysis, and explanation for this issue, we apply the soft computing techniques on human thought measurement and public`s idea with a more appropriate way. In the conclusion, future experiments and further suggestions are presented.en_US
dc.format.extent128 bytes-
dc.format.mimetypetext/html-
dc.language.isoen_US-
dc.relationCommunications in Statistics - Simulation and Computation , Published online: 07 Apr 2014en_US
dc.subjectfuzzy statistics; membership function; fuzzy answering; marketing surveyen_US
dc.titleStatistical Analysis with Soft Computation for Fuzzy Answering in Sampling Surveyen_US
dc.typearticleen
dc.identifier.doi10.1080/03610918.2013.826362-
dc.doi.urihttp://dx.doi.org/10.1080/03610918.2013.826362-
item.languageiso639-1en_US-
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:期刊論文
Files in This Item:
File Description SizeFormat
index.html128 BHTML2View/Open
405270.pdf301.03 kBAdobe PDF2View/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.