data envelopment analysis (dea) is a method for measuring the relative efficiencies of a set of decision-making units (dmus) that use multiple inputs to produce multiple outputs. in this paper, we study the measurement of dmu performances in dea in situations where input and/or output values are given as imprecise data. by imprecise data we mean situations where we only know that the actual val...

The aim of this paper is to extend the classical problem of confidence interval estimation for the mean of a random variable to the case of a fuzzy random variable. The key idea consists in considering a confidence region defined as a ball w.r.t. a given metric, which is centered in the sample mean and whose radius is determined via bootstrapping. The developed approach is illustrated both by m...

Recently generalized interval probability was proposed as a new mathematical formalism of imprecise probability. It provides a simplified probabilistic calculus based on its definitions of conditional probability and independence. The Markov property can be described in a form similar to classical probability. In this paper, an expectation-maximization approach is developed to train generalized...

Since the discovery of Higgs boson in 2012, detailed studies its properties have been ongoing. Besides mass, width - related to lifetime is an important parameter. One way determine this quantity by measuring off-shell production, where mass far away from nominal value, and relating it on-shell close value. Here, we report evidence for such contributions production cross section two Z bosons wi...