A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems
Cita com:
hdl:2117/380631
Tipus de documentArticle
Data publicació2023-04
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Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
Abstract
Aggregating multiple opinions or assessments in a decision has always been a challenging field topic for researchers. Over the last decade, different approaches, mainly based on weighting data sources or decision-makers (DMs), have been proposed to resolve this issue, although social choice theory, focused on frameworks to combine individual opinions, is generally overlooked. To resolve this situation, a novel methodology is developed in this paper based on social choice theory and statistical mathematics. This method innovates by dividing the assessment into components which provides a multiple assessment analysis, assigning weights to each source regarding their position compared to the group for each considered criteria. This multiple-weighting process maximises individual and group satisfaction. Furthermore, the method makes it possible to manage previously assigned influence. An example is given to illustrate the proposed methodology. Additionally, sensitivity analysis is performed and comparisons with other methods are made. Finally, conclusions are presented.
CitacióBoix, D.; Pardo-Bosch, F.; Pujadas, P. A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems. "Expert systems with applications", Abril 2023, vol. 216, núm. article 119471, p. 1-13.
ISSN0957-4174
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S0957417422024903
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