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[PDT14a] Taking account of uncertain, imprecise and incomplete data in sustainability assessments in agriculture

Conférence Internationale avec comité de lecture : ICCSA 2014 - 14th International Conference on Computational Science and Its Applications, July 2014, Vol. III, pp.625–639, Guimarães, Portugal,

Mots clés: Dempster-Shafer model, belief, plausibility, conjunctive combination

Résumé: To manipulate incomplete, uncertain and hypothetic information about farms, the future evaluation software in the agriculture domain will have to make computations and combine fuzzy numerical values. The approach we propose relies on combination of incomplete, uncertain and hypothetic object values based on particular application of the Dempster-Shafer evidence theory. We then propose the integration of this approach in classic object oriented programming via the implementation of a C++ library.

Equipe: vespa
Collaboration: ESITPA

BibTeX

@inproceedings {
PDT14a,
title="{Taking account of uncertain, imprecise and incomplete data in sustainability assessments in agriculture}",
author=" Y. Pollet and J. Dantan and S. Taibi ",
booktitle="{ICCSA 2014 - 14th International Conference on Computational Science and Its Applications}",
year=2014,
edition="Wiler international",
month="July",
volume=III,
pages="625–639",
address=" Guimarães, Portugal",
}