Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression
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Publication:342336
DOI10.1016/j.cor.2016.01.007zbMath1349.91094OpenAlexW2271574369MaRDI QIDQ342336
Miłosz Kadziński, Marcin Michalski
Publication date: 17 November 2016
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2016.01.007
multiple criteriaordinal regressionadditive value functionefficacy measuresranking methodsscoring procedures
Related Items (11)
Efficient pairwise preference elicitation allowing for indifference ⋮ Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: an experimental analysis ⋮ Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems ⋮ A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity ⋮ Scoring from pairwise winning indices ⋮ A comparison between TOPSIS and SAW methods ⋮ Iterative ranking aggregation using quality improvement of subgroup ranking ⋮ On generating utility functions in stochastic multicriteria acceptability analysis ⋮ EMOSOR: evolutionary multiple objective optimization guided by interactive stochastic ordinal regression ⋮ Robust stochastic sorting with interacting criteria hierarchically structured ⋮ As simple as possible but not simpler in multiple criteria decision aiding: the robust-stochastic level dependent Choquet integral approach
Uses Software
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