Uncertainty theory is a branch of axiomatic mathematics that deals with human uncertainty, and uncertain variable is used tomodel the uncertain quantities. Inverse uncertainty distribution provides an easy way to calculate the functions of uncertain variables as well as their expected values. This paper mainly presents a formula to calculate the variance of an uncertain variable via the inverse...

This paper explores two general methods for incorporating volumetric uncertainty information in direct volume rendering. The goal is to produce volume rendered images that depict regions of high (or low) uncertainty in the data. The first method involves incorporating the uncertainty information directly into the volume rendering equation. The second method involves post-processing information ...

The present paper describes two studies that investigated incremental predictive value of tolerance and intolerance for uncertainty in predicting creativity. The first study shows significant positive incremental predictive power of tolerance for un­ certainty over general intelligence in predicting creativity. The second study re­ veals a negative relationship between intolerance for uncertain...

Suppose a die is being rolled. One thing is to be uncertain about the facet that will eventually show up. One quite different thing, is to be uncertain about whether the die is fair or otherwise unbiased. We can rather naturally refer to first order and second order uncertainty, respectively. In the former case we are uncertain about some (presently unknown) state of affairs. In the latter we a...

Uncertainty text detection is important to many social-media-based applications since more and more users utilize social media platforms (e.g., Twitter, Facebook, etc.) as information source to produce or derive interpretations based on them. However, existing uncertainty cues are ineffective in social media context because of its specific characteristics. In this paper, we propose a variant of...

Uncertainty, being an integral part of any test, experiment or manufacturing process, can be declared as the foremost runner to be analyzed in design analysis. Uncertainty analysis coupled with probability of failure for a component or system gives us enough fuel to ride on towards the optimization process. However, Experimental uncertainty is also a kind of uncertainty which is ignored in mode...