<?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></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><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><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">On Inequalities Bounding Imprecision and Nonspecificity Measures of Uncertainty</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2022</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">52</style></volume><pages><style face="normal" font="default" size="100%">37-51</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This article presents proof of two inequalities about two measures of uncertainty of basic belief assignments, called respectively Imprecision measure and U-uncertainty measure, that have been introduced by Dubois and Prade in the 1980s. These inequalities have been considered as obvious by the authors, but to prove them rigorously requires some effort, as demonstrated in this article.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Performance evaluation of fuzzy-based fusion rules for tracking applications</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Reasoning-based Intelligent Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><pages><style face="normal" font="default" size="100%">1-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Tracking applications with fuzzy-based fusion rules </style></title><secondary-title><style face="normal" font="default" size="100%">2013 IEEE INISTA </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">19-21 June 2013</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Albena, Bulgaria</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">New Fusion Rules for Solving Blackman’s Association Problem</style></title><secondary-title><style face="normal" font="default" size="100%">Advances and Applications of DSmT for Information Fusion (Collected works)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><publisher><style face="normal" font="default" size="100%">American Research Press, Rehoboth</style></publisher><volume><style face="normal" font="default" size="100%">III</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">New fusion rules for solving Blackman's association problem</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><publisher><style face="normal" font="default" size="100%">American Research Press, Rehoboth</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Object identiﬁcation using T-conorm/norm fusion rule</style></title><secondary-title><style face="normal" font="default" size="100%">Advances and Applications of DSmT for Information Fusion (Collected works)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><publisher><style face="normal" font="default" size="100%">American Research Press, Rehoboth</style></publisher><volume><style face="normal" font="default" size="100%">III</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Tracking object's type changes with fuzzy based fusion rule</style></title><secondary-title><style face="normal" font="default" size="100%">First International Conference Modelling and Development of Intelligent Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">22-25 October</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Sibiu - Romania</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A new class fusion rule for solving Blackman's association problem</style></title><secondary-title><style face="normal" font="default" size="100%">4th International IEEE Conference Intelligent Systems, IS 2008</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">6-8 Septemb 2008</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Varna; Bulgaria</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Multitarget Tracking in Clutter based on Generalized Data Association: Performance Evaluation of Fusion Rules</style></title><secondary-title><style face="normal" font="default" size="100%">Advances and Applications of DSmT for Information Fusion</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><publisher><style face="normal" font="default" size="100%">American Research Press, Rehoboth</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><section><style face="normal" font="default" size="100%">12</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A New Class of Fusion Rules Based on T-Conorm and T-Norm Fuzzy Operators</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">65-82</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper a particular combination rule based on specified fuzzy TConorm/ T-Norm operators is proposed and analysed - TCN Rule of Combination. It does not belong to the general Weighted Operator Class. The nice features of
the new rule could be defined as: very easy to implement, satisfying the impact
of neutrality of Vacuous Belief Assignment; commutative, convergent to idempotence, reflecting majority opinion, assuring an adequate data processing in case of total conflict. Several numerical examples and comparisons with the new advanced
Proportional Conflict Redistribution Rules proposed recently by Florentin Smarandache and Jean Dezert within their theory of plausible and paradoxical reasoning
are presented.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</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><author><style face="normal" font="default" size="100%">Florentin Smarandache</style></author><author><style face="normal" font="default" size="100%">Pavlina Konstantinova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Target Type Tracking</style></title><secondary-title><style face="normal" font="default" size="100%">Fusion 2006 conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><pub-location><style face="normal" font="default" size="100%">Firenze, Italy</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Target Type Tracking with Different Fusion Rules: A Comparative Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Advances and Applications of DSmT for Information Fusion</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><publisher><style face="normal" font="default" size="100%">American Research Press, Rehoboth</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><section><style face="normal" font="default" size="100%">13</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Generalized Data Association for Multitarget Tracking in Clutter</style></title><secondary-title><style face="normal" font="default" size="100%">Collected works, vol. 1</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year></dates><publisher><style face="normal" font="default" size="100%">American Research Press, Rehoboth</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Logic Approach to Estimating Tendencies in Target Behavior</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">58-69</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In some real-world situations when kinematic data is not available or it is not sufficient to provide right decisions and/or accurate estimates, estimation schemes may incorporate the attribute data that usually exists simultaneously with kinematic data. However, attribute data is usually incomplete, inconsistent and vague, hence the importance of the problem of overcoming the arising uncertainty in such cases. This paper presents one approach to the estimation of the tendency of target behavior. The authors present an original algorithm for tracking target behavior and evaluate its performance. The algorithm is based on the application of the principles of fuzzy logic to conventional passive radar amplitude measurements. A set of fuzzy models is used to describe alternative tendencies of target behavior. Additionally, a noise reduction procedure is applied. The performance of the developed algorithm in the presence of noise is estimated based on computer simulations results.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emil Semerdjiev</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%">An Approach For a Fast reduction of the Full Ignorance in the Target Identification Process</style></title><secondary-title><style face="normal" font="default" size="100%">First International Conference on Information Fusion (Fusion’98)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year></dates><pub-location><style face="normal" font="default" size="100%">Las Vegas</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emil Semerdjiev</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%">An Approach for a Fast Reduction of the Full Ignorance in the Target Identification Process</style></title><secondary-title><style face="normal" font="default" size="100%">the First International Conference on Multisource-Multisensor Information Fusion</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year></dates><pub-location><style face="normal" font="default" size="100%">Las Vegas, Nevada</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">986-991</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Albena Tchamova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evidence Reasoning Theory with Application to the Identity Estimation and Data Association Systems</style></title><secondary-title><style face="normal" font="default" size="100%">Mathematics and Computers in Simulation 43 (Netherlands: Elsevier Science, 1997)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year></dates><pages><style face="normal" font="default" size="100%">139-142</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emil Semerdjiev</style></author><author><style face="normal" font="default" size="100%">Albena Tchamova</style></author><author><style face="normal" font="default" size="100%">Pavlina Konstantinova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple Hypothesis Tracking Using Demster-Shafer's Attribute Class Estimation</style></title><secondary-title><style face="normal" font="default" size="100%">Comptes rendus de l'Academie Bulgare des Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year></dates><volume><style face="normal" font="default" size="100%">50</style></volume><pages><style face="normal" font="default" size="100%">53-56</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">7</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Albena Tchamova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evidence Reasoning Logic and Fuzzy Set Theory: Combined Method for Resolving Dempster's Rule Indefiniteness in a Case of Conflicting Evidence</style></title><secondary-title><style face="normal" font="default" size="100%">4th European Congress on Intelligent Techniques and Soft Computing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><pub-location><style face="normal" font="default" size="100%">Aachen, Germany</style></pub-location><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">135-137</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pavlina Konstantinova</style></author><author><style face="normal" font="default" size="100%">Tzvetan Semerdjiev</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%">Performance Evaluation of Attribute Data Association Algorithm Using Parallel Processing</style></title><secondary-title><style face="normal" font="default" size="100%">10th Intern. Conf. on Systems for Automation of Engineering &amp; Research (SAER'96)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><pub-location><style face="normal" font="default" size="100%">Varna, Bulgaria</style></pub-location><pages><style face="normal" font="default" size="100%">99-103</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Albena Tchamova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evidence Reasoning Logic and Fuzzy Set Theory: Combined Method for Resolving Conflict Assignments in Attributes Data Association Systems</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Workshop on Nonlinear Signal and Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year></dates><pub-location><style face="normal" font="default" size="100%">Halkidiki, Greece</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">1011-1014</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Albena Tchamova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Resolving Conflict Assignment in Attributes Data Association Systems</style></title><secondary-title><style face="normal" font="default" size="100%">Comptes rendus de l'Academie Bulgare des Sciences </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year></dates><edition><style face="normal" font="default" size="100%">1</style></edition><volume><style face="normal" font="default" size="100%">48</style></volume><pages><style face="normal" font="default" size="100%">57-60</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>