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Taking Account of Uncertain, Imprecise and Incomplete Data in Sustainability Assessments in Agriculture

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01018063
Contributor : Jérôme Dantan <>
Submitted on : Thursday, July 3, 2014 - 3:35:33 PM
Last modification on : Tuesday, February 11, 2020 - 1:14:13 AM

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  • HAL Id : hal-01018063, version 1

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Jérôme Dantan, Yann Pollet, Salima Taibi. Taking Account of Uncertain, Imprecise and Incomplete Data in Sustainability Assessments in Agriculture. Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Jun 2014, Guimaraes, Portugal. pp. 625-639. ⟨hal-01018063⟩

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