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

  • Jérôme Dantan
  • Yann Pollet
  • Salima Taibi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8581)


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.


Dempster-Shafer model belief plausibility conjunctive combination 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jérôme Dantan
    • 1
    • 2
  • Yann Pollet
    • 2
  • Salima Taibi
    • 1
  1. 1.Agri’terrEsitpaMont-Saint-AignanFrance
  2. 2.CNAM, CEDRICParisFrance

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