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A Hierarchical Integration Method Under Social Constraints to Maximize Satisfaction in Multiple Criteria Group Decision Making Systems by David Boix-Cots; Francesc Pardo-Bosch; Pablo Pujadas is a Computer Science article available to read on EtoBox.

What is A Hierarchical Integration Method Under Social Constraints to Maximize Satisfaction in Multiple Criteria Group Decision Making Systems about?

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.

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Author

David Boix-Cots; Francesc Pardo-Bosch; Pablo Pujadas

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)