The standard analysis in macroeconomics depends on the assumption of the representative agent. However, when the degree of uncertainty becomes significant, we cannot ignore a simple fact that the macroeconomy consists of a large number of heterogeneous agents. In this paper, we demonstrate the importance of the combinatory aspect. Specifically, the effectiveness of policy necessarily weakens as...

Scalar anisotropy indices are important means for the analysis and visualization of diffusion tensor fields. While the propagation of uncertainty and errors has been studied for a variety measures, this chapter additionally considers the extraction of isosurfaces from anisotropy fields. We use the numerical condition to estimate the uncertainty propagation from the DT’s eigenvalues via fraction...

In this article, a dynamic localization method based on multi target tracking is presented. The originality of this method is its capability to manage and propagate uncertainties during the localization process. This multi-level uncertainty propagation stage is based on the use of the Dempster-Shafer theory. The perception system we use is composed of an omnidirectional vision system and a pano...

The main issue in this paper is to discuss a parity property that appears in the expressions for the distorted spectrum of the thermal Sunyaev-Zel’dovich effect. When using the convolution integrals method involving scattering laws we argue that the distorted spectrum contains a new term, which is an odd power of the frequency. Such a term, absent in the conventional approaches, implies a cross...

The real life decisions are usually made in the state of uncertainty. This fact providesa motivation to study the behavior of uncertain phenomena. In order to deal withsubjective uncertainty, Liu (2007) founded an uncertainty theory that is a branch ofmathematics based on normality, monotonicity, self-duality, countable subadditivity,and product measure axioms. After that, u...

Uncertainty is a fundamental characteristic of quantum system. The degree uncertainty an observable has long been investigated by the standard deviation observable. In recent years, however, analyzing some special examples, researchers have found that Shannon entropy measurement outcomes more suitable to quantify its uncertainty. Formally, limit general Rényi entropy. this paper, we discuss pro...

We examine the impact on firm cash holdings of uncertainty uncertainty, measured as ex post volatility economic policy uncertainty. Using news-based index developed by Baker et al. (2016) for twenty-two countries, we find that, when there is greater firms hold more cash. Our results are robust to controlling a host firm-level and country-level factors. Consistent with (2016), consider that less...

In this paper, Generalized Aggregated Uncertainty measure 2 (GAU2), as a newuncertainty measure, is considered to evaluate uncertainty in a localization problem in which cameras’images are used. The theory that is applied to a hierarchical structure for a decision making to combinecameras’ images is Dezert-Smarandache theory. To evaluate decisions, an analysis of uncertainty isexecuted at every...