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Solving Multi-criteria Decision Problems under Possibilistic Uncertainty Using Optimistic and Pessimistic Utilities

  • Nahla Ben Amor
  • Fatma Essghaier
  • Hélène Fargier
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 444)

Abstract

This paper proposes a qualitative approach to solve multi-criteria decision making problems under possibilistic uncertainty. Depending on the decision maker attitude with respect to uncertainty (i.e. optimistic or pessimistic) and on her attitude with respect to criteria (i.e. conjunctive or disjunctive), four ex-ante and four ex-post decision rules are defined and investigated. In particular, their coherence w.r.t. the principle of monotonicity, that allows Dynamic Programming is studied.

Keywords

Dynamic Program Algorithm Weak Monotonicity Possibility Degree Compound Lottery Simple Lottery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Nahla Ben Amor
    • 1
  • Fatma Essghaier
    • 1
    • 2
  • Hélène Fargier
    • 2
  1. 1.LARODECInstitut Supérieur de Gestion TunisTunisie
  2. 2.IRIT-CNRS, UMR 5505Université de ToulouseFrance

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