Combining Interval, Probabilistic, and Fuzzy Uncertainty: Foundations, Algorithms, Challenges -- An Overview
Владик Крейнович, David J. Berleant, Scott Ferson, Weldon Alexander Lodwick · scholarworks - UTEP (The University of Texas at El Paso) · 2005
Since the 1960s, many algorithms have been designed to deal with interval uncertainty. In the last decade, there has been a lot of progress in extending these algorithms to the case when we have a combination of interval and probabilistic uncertainty. We provide an overview of related algorithms, results, and remaining open problems.