Abstract
The aggregation-disaggregation approaches as an important field of multicriteria decision-aid systems aim to infer global preference models from preference structures, as directly expressed by one or more decision-makers. The main objective of this chapter is to present new research developments of aggregationdisaggregation models and discuss related research topics. These recent developments cover a wide variety of topics, like post-optimality analysis, robustness analysis, group and collective decision-making. They focus mainly on the UTA family of models and highlight their most important advantages: they are flexible in the modeling process of a decision problem, they may provide analytical results that are able to analyze the behavior of the decision-maker, and they can offer alternative ways to reduce the preferential inconsistencies between the decision-maker and the results of the disaggregation model. Finally, future research topics in the context of preference disaggregation approaches are outlined in this chapter.
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Keywords
- Global Preference
- Fuzzy Preference Relation
- Group Decision Support System
- Robustness Measure
- Negotiation Support System
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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Siskos, Y., Grigoroudis, E. (2010). New Trends in Aggregation-Disaggregation Approaches. In: Zopounidis, C., Pardalos, P. (eds) Handbook of Multicriteria Analysis. Applied Optimization, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92828-7_6
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