Dempster-Shafer evidence theory is an efficient method to process uncertain, incomplete and vague information in data fusion. The combination of conflicting bodies of evidence has been one of the most important issues in Dempster-Shafer evidence theory since the example of counter-intuitive results produced by Dempster’s rule was found. Based on the framework of the Dempster-Shafer evidence the...

The classical evidence theory can result in paradox in the process of information fusion. To resolve this problem, a multi-source data fusion method based on dissimilarity matrix and evidence theory is proposed. First, using the weighted Euclidean distance, evidence dissimilarity matrix is constructed. Second, dissimilarity between the evidences is measured. Third, using dissimilarity matrix, s...

Nowadays ontologies present a growing interest in Data Fusion applications. As a matter of fact, the ontologies are seen as a semantic tool for describing and reasoning about sensor data, objects, relations and general domain theories. In addition, uncertainty is perhaps one of the most important characteristics of the data and information handled by Data Fusion. However, the fundamental nature...

The challenge of using communications infrastructure to stabilize other infrastructures is related to research on the collective communications systems in social animals, robots, and human-non-human interaction. In these systems, voting models can explicate patterns of observed behavior or predict collective outcomes. Developing more theoretical deductive explanatory power can increase our know...

The theory of distributed detection is receiving a lot of attention. A common assumption used in previous studies is the conditional independence of the observations. In this paper, the optimization of local decision rules for distributed detection networks with correlated observations is considered. We focus on presenting the detection theory for parallel distributed detection networks with fi...

Some data fusion problems seem to be naturally handled in the framework of possibility theory. As an example, the problem of modelling expert knowledge about numerical parameters in the field of reliability is reconsidered in that framework. Usually expert opinions about quantities such as failure rates are modelled, assessed and pooled in the setting of probability theory. In this paper, we fo...

In this paper we first formally define the notions of data fusion and decision fusion. Then we formulate a theorem that decision fusion is a special case of data fusion. We show the meaning of this theorem on a simple example of edge detection. Edge detection can be done in two ways: by first fusing the original images and then detecting edges in the fused image (data fusion) or by first detect...

A novel algorithm based on bimatrix game theory has been developed to improve the accuracy and reliability of a speaker diarization system. This algorithm fuses the output data of two open-source speaker diarization programs, LIUM and SHoUT, taking advantage of the best properties of each one. The performance of this new system has been tested by means of audio streams from several movies. From...