User:DaBoCo/sandbox

= Hierarchical Integration of Values and Evaluations under Social constraints (HIVES)=

The Hierarchical Integration of Values and Evaluations under Social constraints, known as HIVES, is an MCGDM method used to aggregate multiple opinions. This method introduces Social choice theory axioms as mathematical constraints to ensure the fairness, equity, and neutrality in the decision.

Furthermore, it is one of the few existing methods which allow to consider previous influence for each participant and that uses a component division to generate a multiple analysis, improving the group satisfaction with the outcome.

HIVES Description
HIVES is a dynamic methodology which can use the initial participant influence and their assessments given in non-negative percentage values to simulate group behaviour, called hive behaviour (HB). HB is used to maximise group satisfaction in all components of the decision, as every component is specifically analysed. The representation of how HIVES works is shown in Fig. 1, inspired by beehive consensus.



Every DM assessment contains a weight vector regarding the ana- lysed criterion set. This vector is affected by the DMs respective previous influence which is represented by different hive roles, such as a worker bee or a queen bee, and it means that HIVES can consider participants equally or unequally. Once assessments have been influenced by DM weights, every component of the set of criteria is allocated in a unique HIVES analysis. This analysis applies statistical mathematics with social theory constraints to find the most desirable group solution.

This solution is based on a game methodology where DMs obtain a score regarding their position compared to the group. This score is assigned using two new concepts: the social ideal consensus point (SICP) and the score bell. The DMs’ score places their weights. Finally, the consensus is reached by a component aggregation.

= Bibliography =

Boix-Cots, D., Pardo-Bosch, F., & Pujadas, P. (2023a). A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems. Expert Systems with Applications, 216, 119471. https://doi.org/10.1016/j.eswa.2022.119471

Boix-Cots, D., Pardo-Bosch, F., & Pujadas, P. (2023b). A systematic review on multi-criteria group decision-making methods based on weights: Analysis and classification scheme. Information Fusion, 96, 16–36. https://doi.org/10.1016/j.inffus.2023.03.004