The article presents a concept of Dezert-Smarandache theory application for enhancing security in tactical mobile adhoc network. Tactical MANET, due to its specification, requires collection and processing of information from different sources of diverse security and trust metrics. The authors specify the needs for building a node’s situational awareness and identify data sources used for calcu...

The spatial prediction of land cover at the field scale in winter appears useful for the issue of bare soils reduction in agricultural intensive regions. High variability of the factors that motivate the land cover changes between each winter involves integration of uncertainty in the modelling process. Fusion process with Dempster-Shafer Theory (DST) presents some limits in generating errors i...

Free and hybrid models of multisource satellite images fusion are developed using the plausible and paradoxical reasoning theory of Dezert-Smarandache. The aim of this work is to show the contribution of these fusion models for improving the thematic classification and the quantification of change. The maps obtained by the free model are composed by simple classes and compound classes. Neverthe...

The objective of this paper is to present an approach for target tracking, which incorporates the advanced concept of generalized data (kinematics and attribute) association to improve track maintenance performance in complicated situations (closely spaced targets), when kinematics data are insufficient for correct decision making. It uses Global Nearest Neighbour-like approach and Munkres algo...

The objective of this study is to present two multitarget tracking applications based on Dezert-Smarandache Theory (DSmT) for plausible and paradoxical reasoning: (1) Target Tracking in Cluttered Environment with Generalized Data Association incorporating the advanced concept of generalized data (kinematics and attribute) association to improve track maintenance performance in complicated situa...

Based on our previous work we propose to track multiple ground targets with GMTI (GroundMoving Target Indicator) sensors as well as with imagery sensors. The scope of this paper is to fuse the attribute type information given by heterogeneous sensors with DSmT (Dezert Smarandache Theory) and to introduce the type results in the tracking process to improve its performances.

In this article, the author generalizes Dempster’s rule, Yager’s rule, and Dubois-Prade’s rule for belief functions combination in order to be applicable to hyper-power sets according to the Dezert-Smarandache (DSm) Theory. A comparison of the rules with the DSm rule of combination is further presented.