using current employee performance data to predict the future behavior of the applicants is an interesting area which can broaden new horizons of knowledge lay in the organization. because of inherent ambiguity and uncertainty, cognitive limitations of the human mind make unknown behaviors of very complex systems difficult to predict. as a consequence, it is necessary to model the imprecise mod...

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...

We apply belief functions to an analysis of future climate change. It is shown that the lower envelope of a set of probabilities bounded by cumulative probability distributions is a belief function. The large uncertainty about natural and socioeconomic factors influencing estimates of future climate change is quantified in terms of bounds on cumulative probability. This information is used to c...

This paper derives an optimal (r; S) policy for uncertain multi-product newsboy problem. Demands for the products are estimated by experts and assumed to be independent uncertain variables. Uncertainty theory, which is a new mathematical tool to deal with human uncertainty, is employed to model demand distributions. A fixed setup cost and a linear ordering cost are incurred if products are orde...

many constants and coefficient effect on the modeling results. in many cases, it is possible these constants and coefficients differ from their real values in the environment, but the modeling results adapted with real boundary conditions due to other factors adjustment during modeling. uncertainty analysis is a tool for assessing the effect of uncertainty of various factors on the modeling res...

Failure to timely identify the occurrence of various shocks in the foreign exchange market due to the close relationship with the monetary, macroeconomic, and financial uncertainty can lead to crises and imbalances. In this paper, the effect of exchange rate and investor confidence on monetary and economic uncertainty in Iran is investigated, specifying a Multivariate GARCH model and the Grange...

This paper proposes a family of robust counterpart for uncertain linear programs (LP) which is obtained for a general definition of the uncertainty region. The relationship between uncertainty sets using norm bod-ies and their corresponding robust counterparts defined by dual norms is presented. Those properties lead us to characterize primal and dual robust counterparts. The researchers show t...

Complex uncertainty expressions such as probably likely and certainly possible naturally occur in everyday conversations. However, they received much less attention in the literature than simple ones. We propose a probabilistic model of the use and interpretation of complex uncertainty expressions based on the assumption that their predominant function is to communicate factual information abou...

This article examines the relationship between inflation and inflation uncertainty in the Turkish economy in this period 2004:01-2014:12. This relationship is explored in two ways: a) with the effect of structural breaks; b) without the effect of structural breaks. In fact, with regard to the main structural break have occurred over this period, we examine whether structural break has affected ...