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...

In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...

Abstract Various strategies for active learning have been proposed in the machine literature. In uncertainty sampling, which is among most popular approaches, learner sequentially queries label of those instances its current prediction maximally uncertain. The predictions as well measures used to quantify degree uncertainty, such entropy, are traditionally a probabilistic nature. Yet, alternati...

Do different forms of uncertainty account for different procedural fairness effects? We hypothesized that general uncertainty accounts for fairness judgments, whereas belongingness uncertainty accounts for group identification. Experiment 1 manipulated general versus belongingness uncertainty. Participants in the general uncertainty condition regarded the procedures as fairer when they were gra...

Do different forms of uncertainty account for different procedural fairness effects? We hypothesized that general uncertainty accounts for fairness judgments, whereas belongingness uncertainty accounts for group identification. Experiment 1 manipulated general versus belongingness uncertainty. Participants in the general uncertainty condition regarded the procedures as fairer when they were gra...

A monopolist typically defers entry into an industry as both price uncertainty and the level of relative risk aversion increase. The former attribute may be present in most deregulated industries, while the latter may be relevant for reasons of market incompleteness or the presence of technical uncertainty. By contrast, it has been shown that the presence of a rival hastens entry under risk neu...

Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in model predictions. In this work, we introduce a global sensitivity indicator which looks at the influence of input uncertainty on the entire output distribution without reference to a specific moment of the output (moment independence) and which can be defined also in the presence of correlations a...

The Z-number is a more adequate construct for describing real-life information. While considering the uncertainty of information, it also models partial reliability It combination probabilistric restriction and possibilistric restriction. In this paper, we modified measurement discrete proposed continuous Z-number. Some numerical examples are used to illustrate calculation processes advantages ...