Title :
Uncertainty modeling and its linguistic expression in data fusion systems
Author :
Grabisch, Michel ; Savéant, Pierre
Author_Institution :
Corp. Res. Lab., Thomson-CSF, Orsay, France
Abstract :
Presents a framework for handling uncertainty in data fusion systems, based on possibility theory. Information on units and observations is represented by a possibility distribution. The correlation problem is addressed, and the fusion process is described. Lastly, we present a linguistic interface, to translate possibility distributions into a natural language form, which can be understood by the operator
Keywords :
natural language interfaces; possibility theory; sensor fusion; state estimation; uncertainty handling; data fusion systems; linguistic expression; linguistic interface; possibility theory; uncertainty modeling; Air traffic control; Command and control systems; Finance; Humans; Laboratories; Meteorology; Natural languages; Possibility theory; Process control; Uncertainty;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686241
