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

نویسندگان

  • Nahla Ben Amor
  • Fatma Essghaier
  • Hélène Fargier
چکیده

This paper proposes a qualitative approach to solve multicriteria 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.

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تاریخ انتشار 2014