<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Jean Dezert</style></author><author><style face="normal" font="default" size="100%">Florentin Smarandache</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Introduction to the Fusion of Quantitative and Qualitative Beliefs</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%">Conflict management</style></keyword><keyword><style  face="normal" font="default" size="100%">Dezert-Smarandache Theory</style></keyword><keyword><style  face="normal" font="default" size="100%">DSmT</style></keyword><keyword><style  face="normal" font="default" size="100%">Information Fusion</style></keyword><keyword><style  face="normal" font="default" size="100%">Qualitative belief</style></keyword><keyword><style  face="normal" font="default" size="100%">Quantitative belief</style></keyword></keywords><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%">9-49</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The efficient management and combination of uncertain and conflicting sources of information remain of primal importance for the development of reliable information fusion systems. Advanced fusion systems must deal both with quantitative and qualitative aspects of beliefs expressed by the different sources of information (sensors, expert systems, human reports, etc). This paper introduces the theory of plausible and paradoxical reasoning, known as DSmT (Dezert- Smarandache Theory) in literature, developed originally for dealing with imprecise, uncertain and potentially highly conflicting sources of information providing quantitative beliefs on a given set of possible solutions of a given problem. We
also propose in this paper new ideas on a possible extension of DSmT for the combination of uncertain and conflicting qualitative information in order to deal
directly with beliefs expressed with linguistic labels instead of numerical values to be closer to the nature of information expressed in natural languages and available
directly from human experts.</style></abstract></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><author><style face="normal" font="default" size="100%">Jean Dezert</style></author><author><style face="normal" font="default" size="100%">Florentin Smarandache</style></author></authors></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><keywords><keyword><style  face="normal" font="default" size="100%">Combination rules</style></keyword><keyword><style  face="normal" font="default" size="100%">Conjunctive rule</style></keyword><keyword><style  face="normal" font="default" size="100%">Fuzzy operators</style></keyword><keyword><style  face="normal" font="default" size="100%">Information Fusion</style></keyword></keywords><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>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Xinde LI</style></author><author><style face="normal" font="default" size="100%">Xinhan HUANG</style></author><author><style face="normal" font="default" size="100%">Min WANG</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robot Map Building From Sonar Sensors and DSmT</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%">DSmT</style></keyword><keyword><style  face="normal" font="default" size="100%">grid map</style></keyword><keyword><style  face="normal" font="default" size="100%">Information Fusion</style></keyword><keyword><style  face="normal" font="default" size="100%">Mobile robot</style></keyword><keyword><style  face="normal" font="default" size="100%">Uncertainty</style></keyword></keywords><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%">104-121</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Knowledge acquisition in map building presents characteristics of uncertainty and imprecision. Especially in the course of building grid map using sonar, this uncertainty is especially severe. Jean Dezert and Florentin Smarandache have recently proposed a new information fusion arithmetic (DSmT) whose greatest merit is to deal with uncertainty and conflict of information. In this paper, based on the arithmetic of DSmT, we can fuse information of different reliable degree for homogeneous or heterogeneous sensors. Then we established the belief model for sonar grid map, and constructed the generalized basic belief assignment function (gbbaf). Pioneer II mobile robot served as the experiment platform, and 3D Map was built based on DSmT online. At last, this paper established a firm foundation on studying dynamic unknown environment and multi-robots building map together and SLAM (simultaneous localization and mapping).</style></abstract></record></records></xml>