Interval-valued probability in the analysis of problems containing a mixture of fuzzy, possibilisitic and interval uncertainty

被引：0
|
作者：
Lodwick, Weldon A. [1 ]
Jamison, K. David [1 ]
机构：
[1] Univ Colorado, Dept Math, Denver, CO 80309 USA
来源：
NAFIPS 2006 - 2006 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2 | 2006年
关键词：
imprecise probability; fuzzy set theory; possibility theory; probability theory; interval analysis;
D O I：
10.1109/NAFIPS.2006.365480
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A simple definition of interval-valued probability measure is given and its implications examined. Properties are derived which allow for the analysis of mixtures of fuzzy, possibilistic, probabilistic and interval uncertainty within on problem utilizing interval-valued probability theory. In particular, it is shown that clouds fit within the context of interval-valued probability as derived herein. Examples and applications are given that illustrate the usefulness and power of the concepts.
引用
收藏
页码：617 / +
页数：2
相关论文
共 50 条
12345