Uncertainty and Information: Foundations of Generalized Information Theory

By G. Klir. 2005

310 citations recorded by the source corpus.

How researchers see this paper

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

Quantification of model uncertainty in RANS simulations: A review (2018, background): “primarily focuses on Bayesian approaches. However, many other non-Bayesian or non-probabilistic approaches for treating epistemic 11 uncertainties exist. Examples include imprecise probability theory [33], probability bounds analysis [34{36], Dempster{Shafer evidence theory [37], fuzzy sets [38], an”
Possibility theory and statistical reasoning (2006, background): “We presented one in the previous section 4.1, the other one is due to Klir [74, 58].”
Minimum uncertainty latent variable models for robot recognition of sequential human activities (2017, background): “If α→0, β=1, the Kapur entropy becomes the Hartley function [22], i.”