學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Modeling of fuzzy data
作者 Wu, Berlin
吳柏林
Nguyen, H.T
貢獻者 應數系
日期 2006
上傳時間 21-Jul-2015 15:29:22 (UTC+8)
摘要 Fuzzy data are imprecise data obtained from measurements, perception or by interviewing people. Typically, those data are expressed in linguistic terms (in qualitative form). For example, "Tony is young", is a useful information, and yet it is not quite clear how we could model it mathematically for processing. The adjective young is intended to give an elastic constraint on the unobservable variable X (age of Tony), the range of X is [0, 100], say. © Springer-Verlag Berlin Heidelberg 2006.
關聯 Studies in Fuzziness and Soft Computing, 198, 13-34
資料類型 article
DOI http://dx.doi.org/10.1007/11353492_3
dc.contributor 應數系-
dc.creator (作者) Wu, Berlin-
dc.creator (作者) 吳柏林zh_TW
dc.creator (作者) Nguyen, H.Ten_US
dc.date (日期) 2006-
dc.date.accessioned 21-Jul-2015 15:29:22 (UTC+8)-
dc.date.available 21-Jul-2015 15:29:22 (UTC+8)-
dc.date.issued (上傳時間) 21-Jul-2015 15:29:22 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76757-
dc.description.abstract (摘要) Fuzzy data are imprecise data obtained from measurements, perception or by interviewing people. Typically, those data are expressed in linguistic terms (in qualitative form). For example, "Tony is young", is a useful information, and yet it is not quite clear how we could model it mathematically for processing. The adjective young is intended to give an elastic constraint on the unobservable variable X (age of Tony), the range of X is [0, 100], say. © Springer-Verlag Berlin Heidelberg 2006.-
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Studies in Fuzziness and Soft Computing, 198, 13-34-
dc.title (題名) Modeling of fuzzy data-
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/11353492_3-
dc.doi.uri (DOI) http://dx.doi.org/10.1007/11353492_3-