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[DP15] Combination of Imperfect Data in Fuzzy and Probabilistic Extension Classes

Revue Internationale avec comité de lecture : Journal Journal of Environmental Accounting and Management, vol. 3(2), pp. 123-150, 2015, (doi:10.5890/JEAM.2015.06.004)

Mots clés: Uncertainty management, Possibility theoryr, Dempster-Shafer theory, simulation, systemic

Résumé: In this article, we propose a uniform formal model able to handle uncertain data. The approach presented provides a formalism for both representing and manipulating rigorously quantities which may have a finite number of possible or probable values with their interdependencies. Then, we define an algebraic structure to operate chained computations on such quantities with properties similar to IR . Next, we provide a particular interpretation for mixing such quantities through the Dempster-Shafer theory. Finally, we provide an implementation of this approach into object oriented programming.

Equipe: vespa
Collaboration: ESITPA

BibTeX

@article {
DP15,
title="{Combination of Imperfect Data in Fuzzy and Probabilistic Extension Classes }",
author="J. Dantan and Y. Pollet",
journal="Journal of Environmental Accounting and Management",
year=2015,
volume=3,
number=2,
pages="123-150",
doi="10.5890/JEAM.2015.06.004",
}