Abstract
The framework of evidence theory is used to represent uncertainty pervading a set of statements which refer to subsets of a universe. Grades of credibility and plausibility attached to statements specify a class of bodies of evidence. Using newly appeared measures of specificity, a principle is stated in order to select, among these bodies of evidence, the one which suitably represents the available information in the least arbitrary way. It is shown that this principle, which is similar to the maximum entropy principle, leads to a deductive reasoning approach under uncertainty, and also provides a rule of combination which does not presuppose any independence assumption. Particularly, it is more general than Dempster's.
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References
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© 1987 Springer-Verlag Berlin Heidelberg
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Dubois, D., Prade, H. (1987). The principle of minimum specificity as a basis for evidential reasoning. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_6
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DOI: https://doi.org/10.1007/3-540-18579-8_6
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