Interval analysis and fuzzy set theory

By R. Moore, Weldon Alexander Lodwick. 2003

324 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Marco De Angelis
2. Michael Beer
3. Edoardo Patelli

In Statistics and Probability

1. Alfredo Vaccaro
2. Claudio A. Cañizares
3. Marco De Angelis
4. Michael Beer
5. Edoardo Patelli
6. Kankar Bhattacharya
7. J. Hurtado
8. Diego A. Alvarez

Citations in the corpus

• An Affine Arithmetic-Based Methodology for Reliable Power Flow Analysis in the Presence of Data Uncertainty (2010, background): “However, defining the connection between IM and fuzzy set theory is not a trivial task [13].”
• Advanced line sampling for efficient robust reliability analysis (2015, methodology): “A detailed reasoning and discussion in this direction with an overview on available generalized models is provided in [14].45 In essence, a generalized model of uncertainty shall allow for imprecision in both the state variables of the system, denoted as θ, and the parameters of the probabilistic mo”