Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/76757
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
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
Appears in Collections:期刊論文

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