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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:
sys
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", | |
| } | |||
