AHP and Uncertainty Theories for Decision Making using the ER-MCDA Methodology

  title={AHP and Uncertainty Theories for Decision Making using the ER-MCDA Methodology},
  author={Jean-Marc Tacnet and - ETGR},
In this paper, we present the ER-MCDA methodology for multi-criteria decision-making based on imperfect information coming from more or less reliable and conflicting sources. The Analytic Hierarchy Process (AHP ), Fuzzy Sets, Possibility and Belief Functions theories are combined to take a decision based on imprecise and uncertain evaluations of quantitative, qualitative criteria. Classical aggregation of criteria is replaced by a two-step fusion process using advanced fusion rules based on the… CONTINUE READING


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  • 2010
Highly Influential
4 Excerpts

Spatial information fusion: application to expertise and management of natural risks in mountains

  • J.-M. Tacnet, M. Rosalie, J. Dezert, E. Travaglini
  • Proceedings of SAGEO’10 Int. Conf., Toulouse…
  • 2010
1 Excerpt

Prise en compte de l’incertitude dans l’expertise des risques naturels en montagne par analyse multicritères et fusion d’information

  • J. M. Tacnet
  • Phd in Environmental Engineering Sciences, Ecole…
  • 2009
1 Excerpt

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