An efficient majority-rule-based approach for collective decision making with CP-nets

作者：Minyi Li, Quoc Bao Vo, Ryszard Kowalczyk · 发表于：Swinburne figshare (Swinburne University of Technology) · 年份：2024 · DOI：10.25916/sut.26223890 · 被引用次数：11 · 研究领域：Constraint Satisfaction and Optimization、Data Management and Algorithms、Multi-Criteria Decision Making

This paper addresses the problem of collective decision making in the case where the agents’ preferences are represented by CP-nets (Conditional Preference Networks). Most existing works either do not consider the computational issues, or depend on a strong assumption that all the agents share a common preferential independence structure. To this end, this paper proposes an efficient approach, called CDMCP (Collective Decision Making with CP-nets), for aggregating multiple agents’ preferences according to majority rule. The proposed approach allows the agents to have different preferential independence structures and is computationally efficient.