Rough approximation of a preference relation by a multi-attribute stochastic dominance for deterministic and stochastic evaluation problems.

DOI10.1016/S0377-2217(00)00046-1zbMath1068.91521OpenAlexW2055080817WikidataQ127656554 ScholiaQ127656554MaRDI QIDQ5932042

Kazimierz Zaras

Publication date: 2001

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(00)00046-1

zbMATH Keywords

Decision makingMulti-attribute stochastic dominanceMultiple attributesPreferencesRough set theory

Mathematics Subject Classification ID

Group preferences (91B10)

Related Items (15)

Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems ⋮ Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process ⋮ Stochastic multiple‐criteria decision making with 2‐tuple aspirations: a method based on disappointment stochastic dominance ⋮ Modeling uncertainty in multi-criteria decision analysis ⋮ INSDECM -- an interactive procedure for stochastic multicriteria decision problems ⋮ A method for stochastic multiple criteria decision making based on dominance degrees ⋮ Multiple criteria decision making based on discrete linguistic stochastic variables ⋮ Rough approximation of a preference relation by multi-decision dominance for a multi-agent conflict analysis problem ⋮ Outranking under uncertainty using scenarios ⋮ Preference disaggregation: 20 years of MCDA experience. ⋮ A method for stochastic multiple criteria decision making based on pairwise comparisons of alternatives with random evaluations ⋮ Multiple criteria decision making with interval stochastic variables: a method based on interval stochastic dominance ⋮ A method for stochastic multiple attribute decision making based on concepts of ideal and anti-ideal points ⋮ Soft dominance based rough sets with applications in information systems ⋮ Stochastic multiple criteria decision making with criteria 2-tuple aspirations

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