11 citations
11 papers
Evidential Force Aggregation
Johan Schubert
In this paper we develop an evidential force aggregation method intended for classification of evidential intelligence into recognized force structures. We assume that the intellig…
Robust Report Level Cluster-to-Track Fusion
Johan Schubert
In this paper we develop a method for report level tracking based on Dempster-Shafer clustering using Potts spin neural networks where clusters of incoming reports are gradually fu…
Clustering belief functions based on attracting and conflicting metalevel evidence
Johan Schubert
In this paper we develop a method for clustering belief functions based on attracting and conflicting metalevel evidence. Such clustering is done when the belief functions concern…
Conflict-based Force Aggregation
John Cantwell, Johan Schubert, Johan Walter
In this paper we present an application where we put together two methods for clustering and classification into a force aggregation method. Both methods are based on conflicts bet…
Dempster-Shafer clustering using Potts spin mean field theory
Mats Bengtsson, Johan Schubert
In this article we investigate a problem within Dempster-Shafer theory where 2**q - 1 pieces of evidence are clustered into q clusters by minimizing a metaconflict function, or equ…
Managing Inconsistent Intelligence
Johan Schubert
In this paper we demonstrate that it is possible to manage intelligence in constant time as a pre-process to information fusion through a series of processes dealing with issues su…