This paper proposes a distance-based aggregation and consensus method for preference-approvals, a type of preference data where individuals provide a list of approved alternatives in addition to a strict ranking. The proposed method aims to synthesize individual preference-approvals into a unified consensus representing the group's collective view. The consensus is the preference-approval, which minimizes the average distance with the whole set of voters. The proposed method has potential applications in group decision-making, recommendation systems, and social choice theory.

Alessandro Albano, Mariangela Sciandra, Antonella Plaia (2023). Distance-based aggregation and consensus for preference-approvals. In Book of abstracts and short papers 14th Scientific Meeting of the Classification and Data Analysis Group.

Distance-based aggregation and consensus for preference-approvals

Alessandro Albano;Mariangela Sciandra;Antonella Plaia
2023-01-01

Abstract

This paper proposes a distance-based aggregation and consensus method for preference-approvals, a type of preference data where individuals provide a list of approved alternatives in addition to a strict ranking. The proposed method aims to synthesize individual preference-approvals into a unified consensus representing the group's collective view. The consensus is the preference-approval, which minimizes the average distance with the whole set of voters. The proposed method has potential applications in group decision-making, recommendation systems, and social choice theory.
2023
Settore SECS-S/01 - Statistica
9788891935632
Alessandro Albano, Mariangela Sciandra, Antonella Plaia (2023). Distance-based aggregation and consensus for preference-approvals. In Book of abstracts and short papers 14th Scientific Meeting of the Classification and Data Analysis Group.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/611159
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