政大學術集成


請使用永久網址來引用或連結此文件: https://ah.nccu.edu.tw/handle/140.119/76764


題名: Random and fuzzy sets in coarse data analysis
作者: Nguyen, H.T.
吳柏林
Wu, Berlin
貢獻者: 應數系
關鍵詞: Data reduction;Mathematical models;Probability;Set theory;Statistical methods;Coarse data analysis;Fuzzy statistics;Random fuzzy sets;Random sets;Fuzzy sets
日期: 2006-11
上傳時間: 2015-07-21 15:29:36 (UTC+8)
摘要: The theoretical aspects of statistical inference with imprecise data, with focus on random sets, are considered. On the setting of coarse data analysis imprecision and randomness in observed data are exhibited, and the relationship between probability and other types of uncertainty, such as belief functions and possibility measures, is analyzed. Coarsening schemes are viewed as models for perception-based information gathering processes in which random fuzzy sets appear naturally. As an implication, fuzzy statistics is statistics with fuzzy data. That is, fuzzy sets are a new type of data and as such, complementary to statistical analysis in the sense that they enlarge the domain of applications of statistical science. © 2006 Elsevier B.V. All rights reserved.
關聯: Computational Statistics and Data Analysis, 51(1), 70-85
資料類型: article
DOI 連結: http://dx.doi.org/10.1016/j.csda.2006.04.016
顯示於類別:[應用數學系] 期刊論文

文件中的檔案:

檔案 描述 大小格式瀏覽次數
70-85.pdf279KbAdobe PDF671檢視/開啟


在學術集成中所有的資料項目都受到原著作權保護.


社群 sharing