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A new proposal for fusing individual preference orderings by rank-ordered agents: A generalization of the Yager's algorithm

机译:排序人员对个人偏好排序进行融合的新建议:Yager算法的推广

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摘要

The problem of the aggregation of multi-agents preference orderings has received considerable attention in the scientific literature, because of its importance for different fields of research. Yager (2001) proposed an algorithm for addressing this problem when the agents' importance is expressed through a rank-ordering, instead of a set of weights. The algorithm by Yager is simple and automatable but is subject to some constraints, which may limit its range of application: (i) preference orderings should not include incomparable and/or omitted alternatives, and (ii) the fused ordering may sometimes not reflect the majority of the multi-agent preference orderings.
机译:由于多智能体偏好排序在不同研究领域中的重要性,因此在科学文献中已经引起了广泛关注。 Yager(2001)提出了一种算法,当代理的重要性通过等级排序而不是权重集表达时,可以解决该问题。 Yager的算法简单且可自动化,但受到一些约束,这可能会限制其应用范围:(i)优先顺序不应包含无可比拟和/或省略的替代方案;(ii)融合顺序有时可能无法反映出多数多主体偏好排序。

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