Title :
Non-probabilistic uncertainty measures
Author :
Luzza, Carlo Beorto ; Poggi, Carla
Author_Institution :
Pavia Univ., Italy
Abstract :
In the framework of the axiomatic information theory proposed by J. Kampe de Feriet and B. Forte, the authors present some results concerning composable uncertainties. In particular the authors apply the recursive method due to P. Benvenuti in order to obtain the explicit form of the set of generalizations of the uncertainty measures studied by C. Bertoluzza and M. Schneider (1974). Some examples are also presented
Keywords :
algebra; information theory; set theory; axiomatic information theory; composable uncertainties; nonprobabilistic uncertainty measures; recursive method; Algebra; Artificial intelligence; Information theory; Measurement uncertainty; Particle measurements;
Conference_Titel :
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2107-9
DOI :
10.1109/ISUMA.1990.151331
