<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jean Dezert</style></author><author><style face="normal" font="default" size="100%">Albena Tchamova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the Effectiveness of Measures of Uncertainty of Basic Belief Assignments</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">belief functions</style></keyword><keyword><style  face="normal" font="default" size="100%">measure of uncertainty</style></keyword><keyword><style  face="normal" font="default" size="100%">MoU</style></keyword><keyword><style  face="normal" font="default" size="100%">Shannon entropy</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><volume><style face="normal" font="default" size="100%">52</style></volume><pages><style face="normal" font="default" size="100%">9-36</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This article examines many existing measures of uncertainty of basic belief assignments proposed in the literature related to the theory of belief func&amp;shy;tions. Some measures capture only a particular aspect of the uncertainty, others propose a total measure of uncertainty to characterize the information quality of a source of information. We discuss the effectiveness of these measures with respect to four main important desiderata that we consider essential for the definition of a satisfactory measure of uncertainty, i.e. effective entropy of basic belief assignment.&lt;/p&gt;</style></abstract></record></records></xml>