The problem of combining pieces of information issued from several sources can be encountered in various fields of application. This paper aims at presenting the different aspects of information fusion in different domains, such as databases, regulations, preferences, sensor fusion, etc., at a quite general level. We first present different types of information encountered in fusion problems, and different aims of the fusion process. Then we focus on representation issues which are relevant when discussing fusion problems. An important issue is then addressed, the handling of conflicting information. We briefly review different domains where fusion is involved, and describe how the fusion problems are stated in each domain. Since the term fusion can have different, more or less broad, meanings, we specify later some terminology with respect to related problems, that might be included in a broad meaning of fusion. Finally we briefly discuss the difficult aspects of validation and evaluation. (C) 2001 John Wiley & Sons, Inc.
A mathematical theory of evidence. Princeton, NJ: Princeton University Press; 1976.
Uncertain data aggregation in classification and tracking processes. In: editor. Aggregation and fusion of imperfect information. Heidelberg: Physica-Verlag; 1998.
Multisensor data fusion in situation assessment processes. In: editors. Qualitative and quantitative practical reasoning. First International Joint Conference on Qualitative and Quantitative Practical Reasoning, ECSQARU/FAPR'97, Bad Honnef, Germany, Lecture Notes in Artificial Intelligence 1244, Berlin: Springer; 1997.
YAGER RONALD R., ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE, 10.1080/03081078308960825
Appriou, Revue Scientifique et Technique de la Défense, 1, 27 (1991)
A general approach to decision making with evidential knowledge. In: editors. Uncertainty in artificial intelligence. Amsterdam: Elsevier; 1986.
Denoeux Thierry, Analysis of evidence-theoretic decision rules for pattern classification, 10.1016/s0031-3203(96)00137-9
Apport d'une approche neuro-floue dans un contexte de fusion de données basé sur la théorie de l'évidence. IPMU' 94, Paris, 1994.
Pixel fusion-contribution of contextual physical data for the a Priori database construction. In: First International Symposium on Physics in Signal and Image Processing, PSIP'99, Paris, 1999.
Spatially ambiguous multisensor data processing. In: First International Conference on Multisource-multisensor Information Fusion, FUSION'98, Las Vegas, Nevada, USA, 1998.
Bibliographic reference
Appriou, A ; Ayoun, A ; Benferhat, S ; Besnard, R ; Cholvy, L ; et. al. Fusion: General concepts and characteristics. In: International Journal of Intelligent Systems, Vol. 16, no. 10, p. 1107-1134 (2001)
