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Communication Dans Un Congrès Année : 2009

The principle of possibility maximum specificity as a basis for measurement uncertainty expression

Résumé

This paper deals with the foundations of a possibility/fuzzy expression of measurement uncertainty. Indeed the notion of possibility distribution is clearly identified to a family of probability distributions whose coverage intervals are included in the level cuts of the possibility distribution Thus the fuzzy inclusion ordering, dubbed specificity ordering, constitutes the basis of a maximal specificity principle. The latter is sounder than the maximal entropy principle to deal with cases of partial or incomplete information in a measurement context. The two approaches can be compared on some common practical measurement cases thanks to the respective coverage intervals they provide.
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Dates et versions

hal-00651565 , version 1 (13-12-2011)

Identifiants

  • HAL Id : hal-00651565 , version 1

Citer

Gilles Mauris. The principle of possibility maximum specificity as a basis for measurement uncertainty expression. IEEE Int. Workshop on Advanced Methods for Uncertainty Estimation in Measurement (AMUEM 09), Jul 2009, Bucarest, Romania. pp.5-9. ⟨hal-00651565⟩
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