期刊
DECISION SUPPORT SYSTEMS
卷 55, 期 1, 页码 55-66出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.dss.2012.12.030
关键词
Decision analysis; Multiple criteria sorting; Stochastic multicriteria acceptability analysis; Robust ordinal regression; Multi-attribute value theory
类别
资金
- Poznan University of Technology [91-516/DS-MLODA KADRA]
We present a new approach for multiple criteria sorting problems. We consider sorting procedures applying general additive value functions compatible with the given assignment examples. For the decision alternatives, we provide four types of results: (1) necessary and possible assignments from Robust Ordinal Regression (ROR), (2) class acceptability indices from a suitably adapted Stochastic Multicriteria Acceptability Analysis (SMAA) model, (3) necessary and possible assignment-based preference relations, and (4) assignment-based pair-wise outranking indices. We show how the results provided by ROR and SMAA complement each other and combine them under a unified decision aiding framework. Application of the approach is demonstrated by classifying 27 countries in 4 democracy regimes. (c) 2013 Elsevier B.V. All rights reserved.
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