On the analysis of fuzzy life times and quality of life data

被引：0
|
作者：
Viertl, R [1 ]
机构：
[1] Vienna Tech Univ, A-1040 Vienna, Austria
来源：
Probability, Statistics and Modelling in Public Health | 2006年
关键词：
D O I：
10.1007/0-387-26023-4_30
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Life times, health data, and general quality of life data axe often not adequately represented by precise numbers or classes. Such data are called nonprecise or fuzzy, because their quantitative characterization is possible by so-called non-precise numbers. To analyze such data a more general concept than fuzzy numbers from the theory of fuzzy sets is necessary. A suitable concept are so-called non-precise numbers. Generalized methods to analyze such data are available, and basic methods for that are described in the paper.
引用
收藏
页码：446 / 451
页数：6
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